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Paper sheet processing device and methods of processing paper sheets Invention relates to a paper sheet processing device. A paper sheet processing device in accordance with the present invention comprises: a unit of image formation, made with the ability to capture an image of a paper sheet and to generate an image of a paper sheet; an identification unit made with the ability to identify symbol of each digital position included in the serial number from the serial number area of the image of the paper sheet; an output unit made with the ability to output an image of the part corresponding to the serial number part of the paper sheet image, when there is a digital position which symbol can not be identified by the identification unit; a display unit made with the ability to display each symbol identified by the identification unit, and the image output from the output unit; and the input unit made with the ability to receive input of each symbol corresponding to the digital position which symbol can not be identified by the identification unit. |
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Method includes: estimating a statistical model of positions of anatomical points; training an anatomical point detector; obtaining a three-dimensional image of the region of interest; detecting a plurality of anatomical point candidates; searching for the best configuration of anatomical points among the candidates; constructing view planes based on the found configuration of anatomical points; estimation of parameters of said statistical model is carried out using an annotated plurality of three-dimensional images; the anatomical point detector is trained using energy of said statistical model as parts of a loss function; detection of the plurality of anatomical point candidates is carried out with an anatomical point detector which is trained using said algorithm; the search for the best configuration of anatomical points is carried out using a greedy iterative search of a configuration which minimises said energy of the statistical model. System realises method's actions. |
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Method for comprehensive inspection of people at checkpoints Method for comprehensive inspection of people at checkpoints includes identification based on hand shape and an access code and gas analytical detection of trace amounts of hazardous substances, wherein the beginning of inspection includes personal identification based on a digital code, performing biometric verification of the identity based on hand shape while simultaneously inspecting the hand position on a sampling plate, which includes reading hand parameters and comparing hand parameters obtained from scanning with reference values stored in the database of an inspection and access control system; after removing the hand from the sampling plate, before the beginning of gas analysis, the region where the hand was located is insulated with a protective cover; a gas analyser then automatically moves towards the sampling plate, after which the sampling plate is heated to a certain temperature, and the vapour of the left traces enters the gas analyser; the comprehensive inspection result is sent to the inspection and access control system. |
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Method of authenticating bank account holder during remote banking service Method of authenticating a bank account holder during a remote banking service using biometric properties of the face of the bank account holder is characterised by that when opening a bank account and/or issuing a bank card, a photograph of the account holder is taken and then stored in electronic form in the database of the bank and the bank card memory, and when conducting account transactions using a computer, a mobile telephone, an ATM, a point-of-sale terminal an image of the face of the person conducting a transaction via a web camera, an optical scanner, installed on the used hardware, is transmitted to the database of the bank, wherein the computer of the bank compares the obtained image with the image stored in the database of the bank, and authorises the transaction if the images are identical, or bars the transaction if the images do not match, and the card is blocked by the ATM at the instruction of the card issuer. |
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Classification of samples data Invention relates to classification of biomolecular data. For this, classification system (100) is used. System input receives multiple attributes (102) of the sample to be classified and multiple appropriate error estimates (104). Statistical module (106) associates probability distribution density functions (108) with said attributes. Note here that appropriate probability distribution density functions depend upon error estimates. Replication module (110) generates multiple disturbed dummy treatments (112). Note here that attributes are arbitrarily disturbed in compliance with apt probability distribution density functions. Classifier (114) classifies disturbed dummy treatments on the basis of disturbed attributes. Analyser (118) classifies the sample to be classified proceeding from the analysis of classified dummy treatments (116) to produce classification (120) of samples. |
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Method and system for searching for copyright infringements on image Method of searching for copyright infringements on an image, executed on a computer system, involves calculating a descriptor for an image N1, situated in a memory unit N1; calculating a descriptor for an image N2, situated in a memory unit N2; comparing the values of the descriptors of images N1 and N2; if said values are equal, images N1 and N2 are compared, after which the comparison results are displayed on an information display device. |
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Image classification based on image segmentation Invention relates to classification of image data and more specifically to classification of image data based on a model for adapting to an object in the image data. The system comprises a segmentation unit (110) for segmenting the image data by adapting the model to the object in the image data and a classification unit (120) for assigning a class to the image data based on the model adapted to the object in the image data, thereby classifying the image data, wherein the classification unit (120) comprises an attribute unit (122) for computing a value of an attribute of the model based on the model adapted to the object in the image data, and wherein the assigned class is based on the computed value of the attribute. Thus, the system (100) of the invention is capable of classifying image data without any user input. All inputs required for classifying the image data 10 constitute a model for adapting to an object in the image data. However, a person skilled in the art will understand that in some versions of the system (100), a limited number of user inputs may be enabled to let the user influence and control the system and the classification process. |
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Method of labelling and identifying signals Method is realised by inserting an additional feature - the degree measure of the angle α M i - into the signal pattern at each interval thereof, and use thereof along with labels as an identifier in a two-dimensional feature space during identification increases the accuracy of identification and enables quantitative estimation of its value when the analysed signal is compared with a reference signal. |
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Associative recognition device Associative recognition device comprises P units for calculating an activation function and P groups of units for generating membership function values, wherein each of the P groups of units for generating membership function values includes K units for generating membership function values, inputs of each of which are connected to inputs of like units of membership function values of each of the other groups from the P groups of units for generating membership function values and are inputs of the associative recognition device, wherein the device also includes P groups of multipliers by weight coefficients, each having K units of multipliers by weight coefficients, inputs of each of which are connected to outputs of corresponding units for generating membership function values from P groups of units for generating membership function values, and the outputs are connected to corresponding inputs of P units for selecting the maximum signal, and outputs of each of the P units for selecting the maximum signal are connected to the input of the corresponding unit for calculating the activation function from the P units for calculating the activation function. |
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Method and apparatus for performing user video authentication Disclosed is a method of performing video authentication of a user, which comprises steps of: receiving a user-provided authentication photograph; capturing a continuous video image of the user in real time over a certain period of time using a video capturing device at a user client; performing real-time decomposition of the video image and obtaining a series of video data frames; selecting from the series of video data frames a specific number of video data frames and generating at least one contrast image for video authentication of the user based on the specific number of video data frames; comparing the authentication photograph with the contrast image and making a decision on the user video authentication result according to the comparison result. |
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Pattern recognition method, pattern recognition device and computer program Method of recognising a pattern in an image comprises the following steps: starting search for a pattern in received images, thereby subjecting the received image to: dividing the image into regions (A1-An), calculating region-specific reference values from region image information, wherein samples are taken only from a part of pixels in a region and reference values are calculated for said region based on the samples taken, comparing the calculated reference values (REF) with stored reference values (REF), and displaying the recognised pattern if a part consisting of adjacent regions (A1-An) is found in the received image, where reference values (REF) of regions correspond to the stored reference values (REF) with sufficient accuracy. |
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Method of identifying signals is realised by applying essentially different transformations of digital sequences in form of loops to obtain unique shortcut characteristics of said sequences, use as addresses of which allows to cut the number of successive comparisons with references. Reducing operations for comparing the identified signal segment with a reference will drop, in the extreme case, from j operations for comparison on the number of reference signals to two operations: calculating the binary address Bi and determining the identifier Cj of the value of belonging to the reference class. |
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Method of identifying mobile device user from unique signature thereof Method of identifying a mobile device user from a signature thereof involves booting the device, launching an application, opening an input window, entering user signature data, digitising said data, determining the beginning and the end of fragments of the entered signature, comparing with a decision threshold, making a decision on personal identification, and unlocking the device in case of a positive decision, wherein the digitised data are broken into an identical number of sections, the signature time is analysed, the obtained time is compared with the time of input of the signature of the true owner stored in the device memory, and the device is unlocked in case of a positive decision on signature identification. |
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Generator of number of financial operation and financial operations carried out with its help Generator of a number of a financial operation comprises an electronic processing device, a memory unit, a device for data input and a display. It is arranged as capable of generation of a unique number of a financial operation, which models a number of the main account of a regular credit or a debit card of a financial institution, and which includes an actual number of a subscriber account in a coded form. An issuing bank extracts the inbuilt number of the account and the amount, verifies compliance of the inbuilt and the provided amount (and also performs other standard inspections) and in case of their compliance authorizes the operation. |
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System and method of controlling electronic financial operations System includes a means of determining designation of an identifier for determining designation of an identifier provided by a potential subscriber in accordance with circumstances thereof, as well as a response means for issuing a predetermined response in accordance with designation of the identifier. The designation can either be "normal" or "forced". If a "normal" identifier is provided, the subscriber is allowed a normal set of operations. If a "forced" identifier is provided, operations are not allowed, the account of the subscriber is frozen and personnel is alerted on the need to assist the subscriber. As an alternative, a limited number of operations can be allowed and personnel can be alerted. |
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System for performance of a financial operation between a potential subscriber and a receiving side includes a facility for ID and account verification, including the following: a storage facility, where a biometric identifier of a potential subscriber is stored, and account details, a receiving facility for getting the biometric identifier and account details of the potential subscriber from the receiving side; in which the received biometric identifier is verified by comparison with the appropriate biometric identifier stored against account details, a facility of communication with a financial institution, and a facility for response to the receiving side in response to the request on verification of the biometric identifier and account details of the potential subscriber. |
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Method of classifying fingerprint pictures during personal authentication During training, a random number N with length of n bits is obtained; n artificial neurons are created; neuron inputs are randomly connected to memory cells with data on inclination of dermal ridges of fragments of examples of the classified fingerprint picture; further, the neurons are trained to output a random number N when presenting examples of the classified picture; the random number N is the hashed and the reference hash value is stored, as well as the connection of the neural network and its training parameters; and during authentication, there is repeated breaking up of the scanned picture into fragments, calculation of the average inclination on the fragment and the calculated value is transmitted to inputs of the neural network; the hash result is calculated at the output of the neural network and then compared with the reference value; in case of a match, personal authentication is continued, otherwise the authentication procedure is stopped once the time allocated for an authentication session runs out. |
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Method of detecting pornography on digital images (versions) Fragments of a digital image similar top human faces are detected in all regions of the digital image; the indicator of the fraction of pixels of skin colours inside the region of a fragment is determined on said fragments; a face is detected if a given threshold value is exceeded; if the threshold value of the fraction of skin colour inside the region of the found face is exceeded, the initial colour palette of human skin is adjusted; outlines of the object of the colour skin are determined; an indicator of geometric similarity of the found outline with typical body outlines is calculated; fragments similar to typical naked body parts are searched; the image is analysed for pornographic visual content. |
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Method of determining value and direction of displacement of monitored object According to the method, an image of the object is displayed on the raster grid of a video camera and superposition of video images from the raster structure is determined. Two dimensional distribution of intensity of radiation reflected from the object is measured in each line of the reference and current raster, followed by digital processing thereof. By selecting the central part of the lines of the reference and current raster, a signal with a short length is generated. Digital signal processing is carried out by determining the value of the discriminator curve as a difference between correlation functions of the measured periodically offset short lines of the reference raster and corresponding lines of the current raster. Further, the slope of the discriminator curve is standardised to a value of the discriminator curve at extreme points of the monotonous operating zone depending on the sign of the calculated value of the discriminator curve. The value and direction of displacement of the monitored object is determined by averaging estimates on all raster lines. |
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System and method of identifying computer users (versions) In the system of identifying computer users, having a data medium and a data reader, having a first module which is in form of a housing and writing element, and a second module having a sensor device and a controller, according to the invention, the second module, which is sealed on a printed-circuit board, further includes a processing processor, having an analogue-to-digital converter, a unit for improving quality of input data, an integral transformation unit, a unit for mathematical expectation, dispersion, a correlation coefficient unit, a time interval unit, a reference unit, a decision unit and a USB interface; the sensor device is in form of an accelerometer whose output is connected to the input of the processing processor, whose output is connected to the input of the controller, whose output is connected to the USB interface and further by a USB port to the computer which stores the information, wherein the accelerometer, the processing processor and the processor are powered from the computer through the USB port. |
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Assessment file contains an assessment pattern and assessment programs. The results of image analysis are assessed using the assessment pattern via the assessment program. At the same time the assessment pattern comprises one or more mandatory criteria and one or more optional criteria, besides, in case of non-compliance with one of the mandatory criteria, the image will be assessed as non-compliant, in spite of non-mandatory criteria. At the same time the assessment points are assigned to each mandatory criterion and non-mandatory criterion, and at the same time the assessment is carried out so that the appropriate assessment points are no given for compliance with non-mandatory criteria, until at least one of the mandatory criteria is met. |
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Apparatus comprises: a) a digital camera (12) which captures at least one digital image (14) of at least one defined zone on the skin (34, 36, 38, 40); said image is defined by a set of pixels which is transmitted to a digital image processing device; b) apparatus for breaking the digital image into three colour planes: red (60), green (70), blue (80), denoted R, G and B respectively, using the said image processing device; c) apparatus for selecting one of these planes (80); d) apparatus for calculating at least one of the following parameters based on the selected plane: -average grey level on the image, -surface area of skin defects on said image, some of which are associated with ageing, such as wrinkles, spots, dark patches, pigmentation defects, flabby and sagging areas on the skin; -mean deviation of the grey level within the set of image pixels as a representative parameter of skin uniformity. Image can have practical application in the method of assessing the effect of a cosmetic agent based on ageing symptoms. |
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Method to detect faces on image using classifiers cascade In method to detect faces on image, including application of a cascade of uniform classifiers, each classifier is used to divide the input vector into two classes - "face", "not a face", besides, each classifier is characterised with a higher accuracy of classification compared to a previous classifier in the cascade, circles are sought for on an incoming image using Hough transformation for circles, a set of fragments is formed in image areas, where circles were detected, by division of areas onto a set of fragments with identical size, cascade of classifiers is applied to each fragment, and it is identified whether it contains a face or not, besides, to make a decision on availability of a face all classifiers must refer the appropriate input vector built on the fragment to a "face" class. |
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Dictionaries coded with code combinations Classifier of code combinations is selected in the method, related to words of a certain language, on the basis of physical, geometric or structural similarity of words to execute words recognition. Words are extracted from a dictionary, which represents words of a certain language, and the classifier of code combinations is used to group words into various groups according to one classifier of code combinations. Each of word groups and the classifier of code combinations are linked in the form of a dictionary, so that when the classifier of code combinations of applied type for grouping of words is provided to the dictionary, the dictionary produces a list of words in an according group for further processing of words recognition. |
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Style-aware use of written input Tool for analysing writing style has a computer-readable data medium which stores computer-executable instructions which, when executed by one or more computer processors, control a module for collecting written content, which collects handwritten content from the user; and a module for analysing style, which analyses the collected handwritten content in order to determine the style of the collected handwritten content. The method describes operation of the said device. |
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Method involves steps on which a picture of the lateral surface of a bullet (or case) is taken. The picture is broken into fragments of given dimensions. A histogram of phase distribution of brightness gradient vectors in all points of the fragment is obtained for each fragment. The phase histogram is transmitted to the input of a pre-trained neural network, through which each fragment is classified as a trace or noise. On picture fragments attributed to traces, the histogram is broken into ranges on brightness. The longest parallel lines are identified in each range. The inclination angle of lines along which there is maximum accumulation of points with the same brightness is determined. In case of inclination angle of 90°, the given trace on the fragment is associated with a primary trace. Histograms of distribution of inclination angles are constructed for all fragments. The maximum of histograms which correspond to the defined texture of the traces is determined, and for all traces, except the primary trace, the type of the trace is determined through the topological position of traces relative the position of boundaries of grooves. |
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Method of identifying image signal Method involves operations for detection and classification of images of objects, operations for detecting video activity, identifying paths of dynamic fragments and recording path fragments/frames; first, a video activity signal is generated from the input image signal as a standard signal of the difference between the current frame and the standard frame; further, dynamic fragments are detected on the video activity signal as groups of neighbouring non-zero values of video activity signal and are then recorded through superposition of strobing pulse signals. Spatial and time-domain parametres of the recorded dynamic fragments are calculated and for each recorded dynamic fragment, a path signal is generated from the set of parametres calculated for the said fragment, and the path signal is stored; further, the stored path signals are classified as an event for appearance, disappearance, activity and movement of objects and thus a path identification signal is generated; after that, values of the path identification signal are used to record/select fragments/frames of the input image signal, and operations for detecting and classifying images of objects are performed over the recorded fragments/frames. |
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Automated multifunctional system for analysis of object images Automated multifunctional system for analysis of object images oriented for collective use comprises a basic part of the system for collective use by biologists of various fields, consisting of a control computer, microscope with automatically controlled scanning stage, with focusing drive, software control drivers, with video input device. Meanwhile, software of control computer has modular incremental structure in the form of serially realised software modules, besides, control computer is combined in a network with personal computers of users, at the same time user uses basic part of system only to input images of frames of analysed preparations into computer. |
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Method for automatic recognition of identification number Initial image of the area in which the identification number must be found is formed, a rectangular area is selected, zones for finding separate positions of the number are detected in the area and characters are identified on the detected positions. The pre-formed initial image is cleaned using a morphological filter and coordinates of approximate centres of each position of the identification number in their detection zones are determined, coordinates of each position and the approximate font parametre used in printing the identification number are determined from the stored fragments of characters of the number, an initial set of templates of characters of the approximate font of the recognised number is formed. During recognition of characters, templates with varying font parametres are superimposed on the zones where positions of the number are found with cyclic shifting of templates relative the found approximate centres of the positions, and comparative analysis is carried out, during which a template is identified for each position, having maximum value of coefficient of coincidence with fragments of a character located at the given position. |
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Method of identifying eyes on images and device for implementing said method Invention can be used in automated vision diagnosis systems, in digital photographic cameras for avoiding portrait photographs with closed eyes and for solving other practical tasks. In the method of identifying eyes, values of eye identification features which are invariant to shift, turning and change in scale are calculated, values of a reduced set of features for preliminary classification of objects and the range of values of features for identifying open and closed eyes are determined, the state of the eyes is detected using the said set of features. The device for identifying eyes has an eye edge detection unit, a bus controller, a microprocessor, RAM for storing intermediate image processing results, a unit for determining the state of the eyes and an eye position detection unit. The device enables to find eyes of a person or group of people on a digital image regardless of the position of the person in the plane of the frame (invariant to shift, turning of the face image in the plane of the frame), and is also sensitive to change in distance to a person and, as a result, to change in scale of the eyes on the image; reliable identification is provided at linear dimensions of the eyes of 40 or more points. |
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Method is realised by passing around outer and inner contours of the recognised character at constant speed, decomposition of each passage curve into two projections X(t), Y(t) and smoothing these functions. The controlled parametres used are Fourier series coefficients or some other orthogonal series of the curves X(t), Y(t), which are further scaled and compared with their standard values belonging to templates of the recognised characters. |
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Method and system for recognising faces based on list of people not subject to verification Invention relates to biometric systems for personal identification from a facial image. In the method a collection of images of "negative" people - those people who are not subject to verification is created. A collection is created for known persons with conversion of the facial image into an internal presentation applied for recognition algorithms realised in the method. The face of a person is detected on an input image. A segmented region containing the face is prepared for recognition through standardisation of the position of the face in accordance with the position of eyes. Scaling to given dimensions is done, as well as standardisation of intensity. Fundamental face recognition algorithms which can calculate similarities between two images are executed. A subset of "negative" faces is selected and then used to determine a new recognition algorithm. A new recognition algorithm is created based on conversion of degree of proximity of the fundamental algorithm based on the created collection of "negative" faces. Recorded images are classified into a set. The system realises the said method. |
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Method and device for determining authenticity of system user Method and device for determining authenticity of the system user is based on comparing coordinates of peculiar features of papillary patterns of fingers at double finger touch of the receiving scanner surface. During the first registration there obtained are pictures of at least two fingerprints, and during the second registration there obtained is the picture of at least one fingerprint, at that, the second registration is performed upon "request-answer" protocol command. Authenticity is considered confirmed in case of non-linear dependence of coordinate offsets of peculiar features of the first and the second pictures. Device for implementing the method consists of a scanner, picture processing unit, database, comparing unit, protocol forming unit connected to the scanner, and comparing unit. Protocol forming unit display panel is located on the scanner front surface. |
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Present invention can be used, for instance, in resolution transformation. In the device and method for processing images, gradient direction v1 of the edges with the largest gradient of pixel values is detected, as well as direction v2 of the edges, orthogonal to the gradient direction v1 of the edges. Processing is done for improving and smoothing out in the gradient direction v1 and direction v2 of the edges, respectively, so as to generate image output data D2. |
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Method of scanning image of skin lines and device to this end Invention relates to computer engineering and can be used for biometric personal identification. In the method of scanning an image of skin lines, radiation flux is generated using at least two sources at different wavelengths, and radiation from each source is directed to a receiving surface at different angles of incidence. The device for realising the method has a radiation-transparent cylinder, which can turn about a fixed axis by an angle, which provides for complete movement of the analysed section of the skin relative the radiation flux from the radiation sources. The radiation sources and receiver are immovable with respect to the cylinder. |
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Device for detecting contours of objects on images Invention relates to object recognition and can be used in computer vision systems during image pre-processing. In the device for detecting contours of objects comprising an image sensor, unit for selecting horizontal and vertical pulses, analogue-to-digital converter, generator, digital signal processor, random access memory, there is also a selector, filter unit, spatial differentiation unit, buffer memory for the filter unit, buffer memory for the spatial differentiation unit, connected to each other as indicated in the formula of invention. Faster operation is achieved due to hardware implementation of filtering and spatial differentiation operations in corresponding units of the device. |
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Method and device for identifying object images Invention relates to computer engineering and can be used in computer vision systems for identifying objects on images. Technical outcome is achieved due to that, the standard is stored not as a series of flat projections, which contain different aspect angles of the object, but its three-dimensional representation in vector form. During identification, the three-dimensional image is rotated, each time with generation of a series of flat images until a match is found. When solving the given task through direct search for all versions, computing time is long, therefore a series of parametres of the object are used, the class of which relates to the given object, overall dimensions. This set of parametres is determined for each model taking into account complexity of its shape. An image is sent to the input of the analyser, presented by an array of pixels in grey gradations, i.e. each element of the array assumes a value from 0 to 255. The array dimension depends on sampling parametres of the image. |
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Ink separator and interface for corresponding application program Present invention relates to methods of communication between an application program and electronic ink. The method of supporting communication between an application and an object for separating ink (which stores ink lines, which are going to be separated into groups), can include the following stages: (a) a request for separation is sent to the ink separation object, possibly using an application; (b) in response to the request for separation, a separation method is called, which groups stored ink lines into one or more groups of lines, with the first pre-determined level of detail (for example, words, lines, indents, sentences, drawings etc.); and (c) making information, related to one or more groups of lines, accessible to the application. This information, which is made accessible to the application, can include, for instance existing groups of lines, number of groups of lines, with the first pre-determined level of detail, machine generated text, corresponding to the groups of lines, or similar information. |
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Method of identifying living finger Present invention relates to dactylography and can be used for preventing unauthorised access to a protected system by random persons. The method of identifying a living finger is based on comparing distinctive features of a papillary figure when a finger is pressed twice to the receiving surface of a scanner. The degree of linearity of displacement of coordinates of the distinctive features of the papillary figure determines whether the finger is living. |
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Synchronous comprehension of semantic objects for highly active interface Invention is related to access to information in computer system with application of recognition and comprehension. Invention provides for realisation of user input recognition prior to completion of user input, i.e. at user, but not system stage, which makes it possible to avoid alternating character of plain-text dialog with computer. Semantic analyses may be assessed on result that is immediately reported to user. |
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Method of protecting personal biometrical identification and authentification data Invention deals with techniques employed for protection of data in the course of biometrical identification and authentification and is highly relevant for e-transaction conclusion, e-trade and Internet-banking. In case of neuron network storage of the user personal key and biometrical parameters encryption of the neuron network description tables is done with segments of the key located within the neuron network proper. |
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Associative identification device Present invention pertains to associative identification devices. The device contains P parallel adders and P units for calculating the activation function, P groups of units for generating membership function values. |
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Method of comparison of imprint of capillary patterns Invention relates to the field of identifying fingerprints, palm-prints and footprints and can be used in criminology, in systems of averting unauthorised access to protected premises. The technical result is the increase in the speed of comparison of fingerprints. The result is reached by building a nest for each feature, which contains the geometric and topological characteristics of the vicinity of a feature, comparing the nests of different patterns first with respect to the topological characteristics, and then according to geometric characteristics, separating the best pairs of nests and, from each chosen pair of nests, developing in parallel the fragments of the compared patterns by the method of passage from one pair of nests to another along the way of the best comparison of nests, accumulating the estimations of the comparison of nests for each way of the development of fragment and selecting the best estimation. |
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In a shop, video surveillance or motion detection or presence detection means are used, and also purchase registration means, routes of movement of hands of operator and/or product, corresponding to conduction of technological operation, are analyzed, most characteristic ones are singled out, areas of movement detection of detection of presence of operator hands and/or goods are selected. Detected routes are described in form of scenarios which represent a set of time-ordered events, including influx of signals from presence and motion control areas, with consideration of their time relations. Influx of signals from observed areas is detected. Signals are combined in a series and compared to available scenarios. On coincidence of a received series of signals with one or more scenario, receipt of signal from operation completion sensor during a time interval, determined by that scenario, is checked. In case of absence of signal from operation completion sensor the operation is classified as incorrectly performed, and actions of operator are classified as abuse. |
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Method for recognizing a complex graphic object In accordance to the method, spectral representation is generated in form of coordinate-phase portrait of object image. Then wavelet transformation of portrait is performed and at each level of transformation a characteristic vector of signs is formed, which consists of statistical characteristics of distributions of wavelet coefficients. Further, distances are computed between coordinate of signs vector of graphic object being analyzed and centers of clusters of characteristic vectors of standard objects. Resulting distances are recorded in a table. Then the table is sent to classifier. The data from the classifier are received at the block for making decisions about association of object being analyzed with one of the permitted classes, where the decision is then made. |
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Method for classification of underlying surface on basis of multichannel image Method includes forming an image of underlying surface in q spectral channels with various location sensors, performing geometrical correction and presentation of component images in unified system of spatial coordinates, density of brightness value probability is transformed to gauss form of those component images in which it is different from gauss form, class number of underlying surface is determined for each element of multi-channel image, and when generating component images of underlying surface for every element of component image, a posteriori probabilities of association of given element of component image with k class of underlying surface (k=1,2,...,K) are determined, for every element of multi channel image a posteriori probabilities of association of that element with k class of underlying surface are determined by addition of corresponding a posteriori probabilities of component image and their normalization to number of channels q, class number of underlying surface is determined for each element of multi-channel image on basis of maximum value of a posteriori probability of association of given element of multi-channel image with k class of underlying surface. |
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Image recognition method additionally includes operation for detecting local extremes, while a priori unknown structure of image being recognized, presence and location of its component objects, are determined not by using preliminarily given object standard, but on basis of analysis of characteristics of a set of local extremes detected on image signal being analyzed. |
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Device additionally includes multi-channel commutator, analog-digital converter, and logical elements AND are made in form of a block of logical elements AND, while information input of multi-channel commutator is the information input of the device, address inputs of multi-channel commutator are connected to outputs of address counter and to address inputs of higher bits of memory block, while the output of multi-channel commutator is connected to information input of analog-digital converter, outputs of which are connected to address inputs of lower bits of memory block, outputs of which are connected directly to information inputs of shift registers block and to first inputs of logical elements AND block, second inputs of which are combined and connected to output of control block, and outputs are connected to matching shift inputs of shift registers block, and input of control block is the control input of the device. |
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Method of comparison of papillary patterns Method can be used in forensics, in unauthorized access preventing systems, for card user identification on base of papillary patterns of feet, fingers and palms. Nest is built for any peculiarity, which nest has geometrical and morphological characteristics of vicinity. Then nests with different patterns are subject to comparison and best pairs of nests are selected. Fragments of patterns to be compared are developed from any selected pair of nests by means of transition from one pair of nests to other one along way of best comparison of nests. Then estimations of comparison are stored for any way of development of fragments and the vest way is selected. Estimations of comparison of nests are subject to correction depending on degree of similarity of areas of patterns which patterns do not contain peculiarities. |
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Device for recognizing objects In accordance to invention, device additionally features a block for forming coordinates, block for forming functions of attachment of standard object image, block for forming difference modules of attachment function, three minimum forming blocks, subtraction block, two serial adders, three registers, block for forming trustworthiness degree coefficient, block for creating attachment functions of observed object image, memory block, maximum forming block, block for forming angle of rotation of standard object image and block for rotating standard object image. |
Another patent 2513600.