Abstract: The disclosure provides a bill identification method, device, electronic device and a computer-readable storage medium. The method includes: obtaining an image of a bill to be identified; using a pre-trained area identification model to identify a final payment area of the bill in the image; using a pre-trained character identification model to identify the final payment amount in the final payment area. By applying the solution provided by the present disclosure, it is possible to realize automatic identification of the payment amount on the bill, and the efficiency of bill processing is improved.

Abstract: A text extraction computing method that comprises calculating an estimated character pixel height of text from a digital image. The method may scale the digital image using the estimated character pixel height and a preferred character pixel height. The method may binarizes the digital image. The method may remove distortions using a neural network trained by a cycle GAN on a set of source text images and a set of clean text images. The set of source text images and clean text images are unpaired. The source text images may be distorted images of text. Calculating the estimated character pixel height may include summarizing the rows of pixels into a horizontal projection, and determining a line-repetition period from the projection, and quantifying the portion of the line-repetition period that corresponds to the text as the estimated character pixel height. The method may extract characters from the digital image using OCR.

Abstract: The present disclosure provides a target detection and model training method and apparatus, a device and a storage medium, and relates to the field of artificial intelligence, and in particular, to computer vision and deep learning technologies, which may be applied to smart city and intelligent transportation scenarios. The target detection method includes: performing feature extraction processing on an image to obtain image features of a plurality of stages of the image; performing position coding processing on the image to obtain a position code of the image; obtaining detection results of the plurality of stages of a target in the image based on the image features of the plurality of stages and the position code; and obtaining a target detection result based on the detection results of the plurality of stages.

Abstract: In some examples, a system for detecting text in an image includes a memory device to store a text detection model trained using images of up-scaled text, and a processor configured to perform text detection on an image to generate original bounding boxes that identify potential text in the image. The processor is also configured to generate a secondary image that includes up-scaled portions of the image associated with bounding boxes below a threshold size, and perform text detection on the secondary image to generate secondary bounding boxes that identify potential text in the secondary image. The processor is also configured to compare the original bounding boxes with the secondary bounding boxes to identify original bounding boxes that are false positives, and generate an image file that includes the original bounding boxes, wherein those original bounding boxes that are identified as false positives are removed.

Abstract: In one embodiment, a diagnostic system for biological samples is disclosed. The diagnostic system includes a diagnostic instrument, and a portable electronic device. The diagnostic instrument has a reference color bar and a plurality of chemical test pads to receive a biological sample. The portable electronic device includes a digital camera to capture a digital image of the diagnostic instrument in uncontrolled lightning environments, a sensor to capture illuminance of a surface of the diagnostic instrument, a processor coupled to the digital camera and sensor to receive the digital image and the illuminance, and a storage device coupled to the processor. The storage device stores instructions for execution by the processor to process the digital image and the illuminance, to normalize colors of the plurality of chemical test pads and determine diagnostic test results in response to quantification of color changes in the chemical test pads.

Abstract: The present invention relates to an image processing device and method whereby deterioration of effects of filter processing due to local control of filter processing when encoding or decoding can be suppressed. A boundary control flag generating unit of a control information generating unit generates boundary control flags based on system specification information which a system specification managing unit manages. A control unit of an adaptive filter processing unit determines a processing method for filter processing to be performed as to pixels nearby a slice boundary following the value of the boundary control flag. For example, selection is made to perform filter processing straddling slices or to perform filter processing closed at the present slice. The present invention can be applied to an image processing device, for example.

Abstract: Technology for predicting online user shopping behavior, such as whether a user will purchase a product, is described. An example method includes receiving current session data describing a current session for a current user, extracting a current clickstream from the current session data classifying the current clickstream as a purchase clickstream or a non-purchase clickstream by processing the current clickstream using one or more sets of Hidden Markov Model parameters produced by one or more Hidden Markov Models, and computing, using the one or more computing devices, a purchase probability that the current user will purchase a product during the current session based on the classifying.

Abstract: Aspects of the disclosure provide a method for denoising a reconstructed picture in a video coding system. The method can include providing two or more candidate non-local denoising technologies, selecting a target non-local denoising technology from the two or more candidate non-local denoising technologies for a patch group, and denoising the patch group of the reconstructed picture with the target non-local denoising technology. Besides, two parallel processing methods are provided for forming patch groups with predictor-based searching algorithms.

Abstract: The present invention proposes a method for generating a security bi-level image used to form one of the inks of a banknote, said image comprising an original bi-level image and a security pattern, said security pattern being obtained in the spatial domain by the inverse Fourier transform of the combination in the frequency domain between the Fourier transform of an auxiliary image and a two-dimensional sweep, said two-dimensional sweep being a circularly symmetric, two-dimensional pattern created by sweeping a self-similar, one-dimensional function along a 360-degree arc, such as said security pattern being detectable from the maximum value of the cross-correlation of said one-dimensional function with the Fourier transform of one line of said banknote, said method comprising the step of: —determining a distance map of the original bi-level image, —generating a merged image by linearly interpolating at least a part of said distance map with said security pattern, —thresholding the merged image to obtain the

Abstract: The present invention relates to an image processing device and method whereby deterioration of effects of filter processing due to local control of filter processing when encoding or decoding can be suppressed. A boundary control flag generating unit 132 of a control information generating unit 112 generates boundary control flags based on system specification information which a system specification managing unit 141 manages. A control unit 171 of an adaptive filter processing unit 113 determines a processing method for filter processing to be performed as to pixels nearby a slice boundary following the value of the boundary control flag. For example, selection is made to perform filter processing straddling slices or to perform filter processing closed at the present slice. The present invention can be applied to an image processing device, for example.

Abstract: Disclosed are systems, devices and techniques that generate a set of media portions associated with a set of message inputs for a multimedia message based on an emoticon or an acronym. A text based message can be received having an emoticon or acronym. The emoticon or acronym is identified in the text based message. A splicing component extracts a set of media content portions from media content, in which the media content portions correspond to the emoticon or acronym received. A multimedia message is generated with the media content portions to convey the text based message as a multimedia message.

Abstract: A method of decoding a video signal is disclosed. The present invention includes determining whether to store a first partial picture when the first partial picture and a first full picture are corresponding to a first temporal point and storing the first partial picture for decoding a second full picture referring to the first partial picture, the second full picture being corresponding to a second temporal point, the second temporal point being located after the first temporal point, wherein a level of the first partial picture on a scalable domain is lower than a level of the second full picture on the scalable domain.

Abstract: In decoding a scalable video signal using a partial picture reference on a temporal domain and a scalable domain, the present invention provides a method including obtaining a first partial picture on a first temporal point, and decoding a full picture referring to the first partial picture, the full picture being on a second temporal point, the second temporal point being located after the first temporal point, wherein a level of the first partial picture on a scalable domain is lower than a level of the full picture on the scalable domain.

Abstract: A method and device for coding a video content a having sequence of pictures and at least one logo is provided. The method includes coding the sequence of pictures by a first coding method, where this step generates coded data relating to the sequence of pictures. The logo is coded by a second coding method and additional information relating to the logo, the additional information including at least information relating to the positioning of the logo in the pictures of the sequence, where this step generates coded data relating to the logo. A single data stream is generated and separately includes the coded data relating to the logo and the coded data relating to the sequence of pictures.

Abstract: A system and a method for automatic restoration of isotropic degradations of a digital image, based on receiving a blurred image by an image capture assembly, automatically finding proper step edge, calculating the PSF from the step edge, and restoring the blurred image by means of a processor, and with the option to display the resorted image by means of an output assembly.

Abstract: The present invention relates to an image processing device and method whereby deterioration of effects of filter processing due to local control of filter processing when encoding or decoding can be suppressed. A boundary control flag generating unit 132 of a control information generating unit 112 generates boundary control flags based on system specification information which a system specification managing unit 141 manages. A control unit 171 of a adaptive filter processing unit 113 determines a processing method for filter processing to be performed as to pixels nearby a slice boundary following the value of the boundary control flag. For example, selection is made to perform filter processing straddling slices or to perform filter processing closed at the present slice. The present invention can be applied to an image processing device, for example.

Abstract: A method for determining a response of each probe zone on a test strip is provided. The present invention selects an average pixel value of each section of reference white respectively adjacent to the image of a target line to serve as a reference for determining a color response of the target line. When the color response is not less than a predetermined value, representing the target line has a positive response in response to a specific component of a tested solution tested by the test strip, and the specific component is present in the tested solution. The content of the specific component is proportional to the color response. When the color response is less than a predetermined value, representing the target line has a negative response in response to the specific component of the tested solution, and the specific component is absent in the tested solution.

Abstract: A video coding and decoding method, wherein a picture is first divided into sub-pictures corresponding to one or more subjectively important picture regions and to a background region sub-picture, which remains after the other sub-pictures are removed from the picture. The sub-pictures are formed to conform to predetermined allowable groups of video coding macroblocks (MBs). The allowable groups of MBs can be, for example, of rectangular shape. The picture is then divided into slices so that each sub-picture is encoded independent of other sub-pictures except for the background region sub-picture, which may be coded using another sub-pictures. The slices of the background sub-picture are formed in a scan-order with skipping over MBs that belong to another sub-picture. The background sub-picture is only decoded if all the positions and sizes of all other sub-pictures can be reconstructed on decoding the picture.

Abstract: Methods for compressing and reconstructing an animation path using linear approximation, apparatuses for performing the methods, and data formats therefor are provided. The apparatus for compressing an animation path, has an interpolator analysis unit for extracting a predetermined number of break points from an animation path and outputting keys and key values corresponding to the break points; a key coder for coding keys output from the interpolator analysis unit; a key value coder for coding key values output from the interpolator analysis unit; and an entropy encoder for entropy encoding the keys and key values which are coded in the key coder and key value coder, respectively, and outputting encoded bit streams. According to the methods, by analyzing break points, a simplified encoded bit stream having a minimum number of break points is obtained.

Abstract: A pattern identification apparatus is used to speedily identify tokens at a game arcade. The apparatus is inexpensive and has an image pickup device (15). The image pickup device has an area sensor (17) consisting of a two-dimensional matrix of photoelectric pixels. Each of the photoelectric pixels has a photodiode (19), a signal comparator (21), and a signal holder (23). The photoelectric pixels are connected to address lines (5), respectively. Required ones of the address lines are specified. Signals are read, to a data line, out of the signal holders of the photoelectric pixels that are connected to the specified address lines in response to addressing signals passed through the specified address lines. The specified address lines correspond to concentric circles (45, 47, 49) defined on a target (39) of disk shape. The target is identified according to the read signals that represent the concentric circles defined on the target.

Abstract: The present invention is a method and apparatus for logic based resolution conversion and enhancement of digital images. The invention employs a selectively controllable architecture wherein a plurality of input resolutions can be converted to a common output resolution. The system has particular use in highlight color systems, wherein the highlight color data may be processed separately for each color plane, using the present invention, and then recombined to produce enhanced highlight color output. Moreover, the hardware preferably employs an interlocked area mapping technique to produce the resolution converted bit planes of digital image data.

Abstract: Pseudo two-dimensional hidden Markov models (HMMs) are used to represent text elements, such as characters or words. Observation vectors for each text element are based on pixel maps obtained by optical scanning. A character is represented by a pseudo two-dimensional HMM having a number of superstates, with each superstate having at least one state. Text elements are compared with such models by using the Viterbi algorithm, first in connection with the states in each superstate, then the superstates themselves, to calculate the probability that a particular model represents the text element. Parameters for the models are generated by training routines. Probabilities can be adjusted to compensate for changes in scale, translations, slant, and rotation.An embodiment is also disclosed for identifying keywords in a body of text. A first pseudo two-dimensional HMM is created for the words that may appear in the text.

Abstract: In order to permit a method of determining the shape of a body, which comprises the step of detecting a contour of said body, to be executed rapidly and with little computing effort, the contour of the body is converted into a contour function which is independent of the position of said body, and said contour function is compared with a predetermined reference contour function for a known shape.

Abstract: A method for pattern recognition is provided which creates statistics in a data base, based upon a number of characteristics extracted from a large number of samples of the pattern to be recognized. The data contains an inverse matrix of a correlation matrix of the characteristics, and the means and standard deviations of the characteristics. When a pattern is received to be recognized, the values of the characteristics of the pattern received are used to compute a Mahalanobis distance. The Mahalanobis distance is computed from the values of the characteristics of the pattern received and the statistics in the data base.

Abstract: Font-independent spotting of user-defined keywords in a scanned image. Word identification is based on features of the entire word without the need for segmentation or OCR, and without the need to recognize non-keywords. Font-independent character models are created using hidden Markov models (HMMs) and arbitrary keyword models are built from the character HMM components. Word or text line bounding boxes are extracted from the image, a set of features based on the word shape, (and preferably also the word internal structure) within each bounding box is extracted, this set of features is applied to a network that includes one or more keyword HMMs, and a determination is made. The identification of word bounding boxes for potential keywords includes the steps of reducing the image (say by 2.times.) and subjecting the reduced image to vertical and horizontal morphological closing operations.

Abstract: An image is analyzed by random or pseudorandom sampling. Information about attributes such as skew, typeface, and character size and spacing is obtained by measuring a characteristic at a number of sampled locations and combining the results to obtain a measure of the characteristic for the image. The number of sampled locations is smaller than the number of locations in the image, but is large enough to achieve a degree of statistical significance. The sampled locations can be selected by obtaining a random or pseudorandom number indicating a candidate location and then applying a criterion to determine whether the candidate location is an appropriate starting point for the measurement. For example, the criterion can be that the location must be a pixel within a character or must be a pixel of a given color at an edge. The measurement can indicate a distance from each sampled location in each of a number of directions, such as the distance to an edge.