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43 results about "Stroke extraction" patented technology
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Method and device for touching character segmentation in character recognition
InactiveCN102169542AShorten operation timeReduce storage spaceCharacter and pattern recognitionText recognitionDomain analysis
The present invention discloses a method and a device for touching character segmentation in character recognition, and belongs to the character recognition field. The method comprises the steps of carrying out preprocessing to obtain connected domains, an average character width and an average character height of a row image; carrying out connected domain analysis, marking touching connected domains, carrying out stroke extraction for selected touching connected domains, carrying out segmentation point detection of the touching connected domains to obtain pre-segmentation points, and saving character blocks for non-touching connected domains; merging extracted strokes according to the pre-segmentation points to obtain the character blocks; saving the character blocks and turning to a next connected domain for carrying out touching determination, and outputting a character block sequence after all connected domains having been traversed; and merging the character blocks according to reference information and outputting recognition result. The method and the device provided in the invention merge the strokes according to the pre-segmentation points to obtain the character blocks, guaranteeing that segmentation points in a larger scope can be detected, and take the mode that contour information is used to predetect the segmentation points as a parameter in merging, avoiding merging mistakes caused by merging correct segmentation points.
Owner:HANVON CORP
Text line detection method and device
The invention discloses a text line detection method and device. The text line detection method comprises: a gray level decomposition step: carrying out gray level decomposition on a gray level image to acquire a text layer of the gray level image; a stroke extraction step: carrying out stroke extraction on the gray level image to acquire a stroke layer of the gray level image; a consistency verification step: verifying the consistency of connected domains of the text layer and the stroke layer, and removing the connected domain belonging to the background region of the gray level image from the text layer based on the verified result; and a text line generation step: organizing connected domains in a text layer, in which the connected domains belonging to the background region of the gray level image are removed, into a text line.. By utilizing the text line detection method and device provided by the invention, the text line which has a relative complex background and is displayed in the image or a video frame can be detected effectively and efficiently.
Owner:FUJITSU LTD
Off-line Chinese character stroke extraction method based on template matching
ActiveCN104156721AConfirm dynamic writing propertiesCharacter and pattern recognitionTemplate matchingStroke extraction
The invention discloses an off-line Chinese character stroke extraction method based on template matching. The off-line Chinese character stroke extraction method comprises the following steps: stroke codes are established for all strokes of Chinese characters and serve as templates; a code is established for a given Chinese character according to the types and numbers of the strokes and serve as a template; the framework line of the given off-line Chinese character is extracted; the framework line is dismantled into four types of stroke segments according to the directions of four strokes namely transverse, vertical, left-falling and right-falling; the stroke segments, which can possibly form new strokes through end-to-end connection, are connected to form new quasi-strokes, and the new quasi-strokes are identified according to the directions and the stroke segment composition features; the quasi-strokes, the stroke code template of the given Chinese character and the Chinese character code templates are matched to confirm all strokes of the off-line Chinese character. With adoption of the method capable of extracting the strokes of the off-line Chinese character through the framework, confirmation of each stroke of the off-line Chinese character can be facilitated, and support can be provided for giving dynamic writing attributes to the strokes of the off-line Chinese character and even the whole off-line Chinese character and for researching and developing the generation technology of a new Chinese character font library.
Owner:南京文木教育科技有限公司
A method for extracting automatically character strokes based on splitting and matching
ActiveCN104182748AFast extractionImprove extraction accuracyCharacter and pattern recognitionInformation processingPattern recognition
The invention discloses a method for extracting automatically character strokes based on splitting and matching, and belongs to the technical field of pattern recognition and information processing. The method comprises the steps as follows: Step one, splitting a character into multiple stroke components according to a character structure; Step two, extracting a skeleton diagram of the stroke components, finding junctions in the skeleton diagram, then calculating PBOD curves of points which are in the neighborhoods of the junctions in a binary image, and extracting junction areas; Step three, extracting features for the stroke components, wherein, the features are matched with features of the stroke components in a standard library; and Step four, combining stroke segments according to the matched result and obtaining strokes of the character. According to the invention, the satisfactory extraction effect can be achieved for the characters with different fonts, the deficiencies that the character stroke extraction accuracy is not ideal and the character stroke extraction speed is slow can be improved effectively, and the stroke extraction accuracy is also high increasingly after the standard character library is complete increasingly.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
Automatic extraction method for character strokes of vector fonts
ActiveCN104992143AGood for batch runningAccurate Stroke Extraction ResultsCharacter and pattern recognitionGlyphPoint set registration
The invention relates to an automatic extraction method for character strokes of vector fonts. The method includes steps of 1) performing skeleton extraction on to-be-extracted target fonts and template fonts corresponding to the target fonts and having stroke classification information in a template database and obtaining data point set and template point set; 2) taking the data point set, the template point set and the stroke attachment of the template point set as input, performing non-rigid point set registration based on structural information and obtaining the stroke attachment of the data point set; 3) converting the stroke attachment of the data point set to attachment of data outline segments so as to enable each outline segment forming a character shape outline to have corresponding attached strokes; 4) connecting the generated outline segment and obtaining a final vector stroke extraction result. According to the invention, font stroke extraction can be realized accurately and no manual intervention is needed. Automatic algorithm operation can be achieved and mass operation of vector stroke extraction can be facilitated.
Owner:PEKING UNIV
Stroke width extraction method and device and character recognition method and system
ActiveCN103455816AReduce the impactImprove accuracyCharacter and pattern recognitionMachine learningHistogram
The invention provides a stroke width extraction method and device and a character recognition method and system and solves the problem of accuracy in stroke extraction. The stroke width extraction method includes: extracting an original connected component of a stroke and allowing the component to correspond to a candidate stroke width; subjecting to the original connected component to corrosion calculation, calculating outline perimeter of the connected component before each time of corrosion, and forming a perimeter histogram; using the candidate stroke width that the connected component corresponds to after each time of corrosion calculation to perform difference calculation on the perimeter histogram so as to obtain stroke length of each candidate stroke width; forming a stroke width histogram by the stroke lengths that the candidate stroke widths correspond to; determining whether the original connected component is a character region or not according to a maximum of the stroke width histogram; if yes, determining the stroke width of the character region according to the maximum. The stroke width extraction method and device and the character recognition method and system have the advantages that stroke width extraction can be more accurate and calculation speed is increased.
Owner:ALIBABA GRP HLDG LTD
Chinese character font generation method based on conditional generation antagonistic network
InactiveCN109064522AWidening Extraction Stroke MethodGenerate various resultsImage analysisTexturing/coloringCoherent point driftAlgorithm
The invention relates to a Chinese character font generation method based on a conditional generation antagonistic network, which relates to Chinese character font generation. Stroke information of Chinese character bitmap is extracted by using central skeleton extraction and coherent point drift method. The new style strokes are generated by the conditional antagonism generation network. A methodfor extract strokes by use Lian Zhouhui is broadened, and that stroke extraction is expanded from handwritten font without thick and thin information to Chinese character bitmap with thick and thin information; In font generation, the proposed method has the advantages of diverse generation results, simple training process, no special prior knowledge, and less manpower and time consumption.
Owner:XIAMEN UNIV
Automatic stroke extraction method for calligraphy single character
ActiveCN110659644AExact searchEasy extractionCharacter and pattern recognitionEngineeringComputer vision
The invention discloses a method for automatically extracting strokes of a calligraphy single character. The method comprises the steps of 1, performing graying and binarization processing on a calligraphy single-character picture, and obtaining a contour of a single character according to information of four neighborhood pixel points of black pixel points in the picture after binarization; 2, carrying out angular point detection on the contour obtained in the step 1, selecting a constraint edge set and a constraint point set, and carrying out constraint Delaunay triangulation; 3, calculatingthe minimum distance between any two connecting triangles containing more than two corner points in the step 2, and determining a cross region and stroke sections connected with the cross region; and4, carrying out continuity analysis on the stroke segments connected with all the intersection regions in the step 3, connecting the stroke segments meeting conditions to obtain a single stroke contour, carrying out contour filling, and finally completing extraction of strokes. According to the method, the intersection area can be accurately found in the stroke extraction of the calligraphy singlecharacter; and the composite strokes can be well extracted.
Owner:XIAN UNIV OF TECH
Soft-pen Chinese character conversion method based on edition of handwriting characteristics
ActiveCN105069742ARealize analysisImplement extractionGeometric image transformationPattern recognitionHandwriting
The invention discloses a soft-pen Chinese character conversion method based on the edition of handwriting characteristics. The above method can be used for extracting the handwriting characteristics of Chinese characters in an inscription / soft-pen copybook and generating soft-pen Chinese characters that are customized in handwriting characteristics. The method comprises the steps of firstly, selecting an appropriate noise-reduction algorithm, a binary operation and a contour smoothing method to pre-process an original inscription image and improve the contrast ratio of the inscription image relative to a background; secondly, positioning each single Chinese character through the segmenting and normalizing operation; thirdly, realizing a stroke extraction and optimization algorithm based on contour triangulation, constructing a triangular mesh for Chinese characters based on the above pre-processing operation, and marking out stroke segments; at the same time, dividing stroke sets based on handwriting characteristics; and finally, providing a Chinese character distortion generating algorithm based on stroke characteristics. According to the technical scheme of the invention, in combination of a customized characteristic matrix composed of stroke center lines, width, contraction speed, flexibility and other factors, and inputted distortion requirements, the characteristic matrix is modified. Therefore, Chinese character images of different handwriting characteristics can be generated.
Owner:BEIHANG UNIV
Chinese character Webfont generation method
The invention discloses a Chinese character Webfont generation method. The Chinese character Webfont generation method comprises the steps of submitting a character request character string S, obtaining font descriptors d corresponding to each Chinese character in the S by searching a DCDML dynamic description library file to obtain a font description set D; carrying out stroke extraction on the font descriptors d in sequence to obtain a point set P forming strokes; successively connecting the point coordinates of the P to form the strokes; integrally displaying the connecting information of all point strokes in the set P, and generating corresponding Webfont Chinese characters f of the font descriptors d; carrying out local optimization on the f; obtaining a Webfont character string corresponding to the character request character string S, and returning to a user. According to the Chinese character Webfont generation method disclosed by the invention, the font counting process is carried out on a server side, so that the requirement for the server side is relatively low, and the method is extremely suitable for being used on mobile terminals.
Owner:ANYANG NORMAL UNIV +2
Image recognition processing method and device, electronic equipment and storage medium
ActiveCN114092938AAchieve the purpose of extractionAccurate data sourceInstrumentsText recognitionEngineering
Owner:TENCENT TECH (SHENZHEN) CO LTD
Chinese character image stroke extraction method and system based on full convolutional neural network
ActiveCN110232337AFully describe the locationFully describe the spatial relationshipCharacter and pattern recognitionNeural architecturesSynthesis methodsSkeletonization
The invention belongs to the field of computer vision and pattern recognition, particularly relates to a Chinese character image stroke extraction method and system based on a full convolutional neural network, and aims to solve the problem that handwriting character strokes written freely are difficult to extract. The Chinese character image stroke extraction method comprises the following steps:carrying out region extraction on an acquired Chinese character image; carrying out skeletonization operation on the overlapped area and the non-overlapped area; calculating the coherence between anystroke segments of the overlapped area after skeletonization; and connecting the stroke segments belonging to the same stroke in the overlapped area, and combining the stroke segments directly connected in the non-overlapped area into a complete skeleton form stroke. On one hand, stroke extraction of handwritten Chinese characters can still be achieved under the condition that strokes of the handwritten Chinese characters which are written freely are overlapped; and on the other hand, a character synthesis method is adopted for obtaining a training sample, and different marking information ofthe training sample in different tasks is attached, so that the labor cost is greatly saved.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI
Manchu file word recognition method based on vision-language model
The invention discloses a Manchu file word recognition method based on a vision-language model. The method comprises the steps of constructing an initial feature module, a stroke extraction module, a vision module, a language module, a modal alignment module and a fusion module; inputting the Manchu word picture into an initial feature extraction module to obtain an initial image feature, inputting the feature into a stroke extraction module and a visual module to obtain a stroke feature and a visual feature, inputting the visual feature into a language model, and outputting a language feature; the stroke features, the visual features and the language features are fused through a multi-mode Transform method, and a final result is controlled and output through a gating mechanism; according to the method, the recognition precision of Manchu characters with covering and staining and Manchu words with large background interference can be effectively improved.
Owner:DALIAN NATIONALITIES UNIVERSITY
Handwritten Chinese character stroke extraction method based on hybrid task cascade structure
The invention discloses a handwritten Chinese character stroke extraction method based on a hybrid task cascade structure, and the method comprises the steps: introducing a ResNeXt-101 network, an FPN network and an RPN network to form an overall feature extraction network, inputting a handwritten Chinese character image in a training set into the overall feature extraction network, and extracting the fusion features and initial candidate regions of handwritten Chinese characters; inputting the fusion feature into a semantic segmentation branch to output a semantic feature and a segmentation prediction mask; inputting the semantic features, the segmentation prediction mask, the fusion features and the initial candidate region into an improved HTC model to obtain a final segmentation mask and bounding box prediction result; constructing a loss function, and performing optimization by using the loss function to obtain a stroke extraction model; inputting the handwritten Chinese character image in the verification set into a stroke extraction model, and performing single-stroke extraction operation on the final segmentation mask and bounding box prediction result to obtain each stroke of the handwritten Chinese character; according to the method, the extraction precision and robustness of the long strokes are remarkably improved, and an effective solution is provided for a handwritten Chinese character stroke extraction task.
Owner:DALIAN NATIONALITIES UNIVERSITY
MaskRCNN-based Chinese character stroke segmentation and extraction method and system
PendingCN113011431AReduce labor costsEasy to operateCharacter and pattern recognitionNeural architecturesData setNetwork model
The invention discloses a MaskRCNN-based Chinese character stroke segmentation and extraction method. The method comprises the following steps: forming a stroke segmentation data set, analyzing fonts, and generating a training set and a verification set; constructing a MaskRCNN network model, wherein the MaskRCNN network model comprises a backbone network, a regional suggestion network and a branch network; presetting initial parameters and iteration times of a MaskRCNN network model, and performing image enhancement on the training set to supplement data; training a MaskRCNN network model, updating network parameters through the training set, and selecting and storing optimal parameters through the verification set; inputting a to-be-detected Chinese character image into the trained network model to obtain a stroke segmentation extraction result; according to the method, the Mask RCNN algorithm in the instance segmentation field is innovatively used in the stroke segmentation extraction task of the Chinese character, and compared with a stroke extraction method, the processing effect and efficiency are greatly improved.
Owner:SOUTH CHINA UNIV OF TECH
Stroke extraction method based on multi-level deep feature fusion
This invention discloses a stroke extraction method based on multi-level deep feature fusion, comprising: acquiring Chinese character images; constructing a Chinese character stroke segmentation dataset; annotating the strokes on the Chinese character images, and using stroke masks, stroke lengths, and rectangular bounding boxes of the stroke masks as label information; building a stroke segmentation model, which includes a Chinese character image preprocessing module, a global feature extraction network, a main visual feature extraction network, a temporal feature extraction network, and a spatial feature extraction network; training and testing the stroke segmentation model; and inputting the Chinese character image to be tested into the stroke segmentation model to obtain the stroke segmentation extraction result. Compared with traditional methods, extracting features from different levels can more comprehensively capture the information of Chinese character strokes, such as the temporal and spatial information of the strokes, thereby improving the accuracy and robustness of the extraction.
Owner:XIAN UNIV OF TECH
A Chinese calligraphy data construction method based on stroke extraction and stroke parameterization
The present invention discloses a method for constructing Chinese calligraphy data based on stroke extraction and stroke parameterization, comprising: acquiring a target calligraphy character image, preprocessing the input target calligraphy character image to obtain a preprocessed image; extracting stroke features from the preprocessed image using a stroke extraction model; extracting single stroke features with high precision to obtain high-precision single strokes; labeling the single strokes; inputting a series of labeled single strokes into a stroke parameterization model to generate trajectory data; and storing the generated trajectory data as structured data in a predetermined format. The present invention utilizes the stroke extraction model and the stroke parameterization model to process a static Chinese image to obtain a calligraphy image with trajectory information, thereby realizing the dynamic and static combination of Chinese calligraphy data.
Owner:SOUTH CHINA UNIV OF TECH
Handwriting regularity monitoring method and system based on image enhancement
ActiveCN121330688Bavoid interferenceImprove extraction qualityCharacter and pattern recognitionHandwritingStructure analysis
The application discloses a handwriting standard monitoring method and system based on image enhancement, relates to the technical field of image processing and intelligent evaluation, and comprises the following steps: obtaining a handwriting character image through adaptive light compensation of multiple light sources; after image preprocessing such as geometric correction and adaptive binarization, a convolutional neural network is used to extract character skeleton topological structure features for structural standard analysis; meanwhile, a pen tip motion trajectory is extracted based on an optical flow method and time sequence standard analysis is performed; after the structural and time sequence bimodal features are fused, a scoring model constructed based on a style transfer network is input to calculate a standard score; and a hierarchical error correction report is automatically generated according to the score grade and deviation type. The technical problems of incomplete stroke extraction, insufficient structural analysis precision, lack of dynamic writing feature modeling and lack of hierarchical error correction feedback under the complex illumination and shielding conditions in the prior art are solved.
Owner:DALIAN HOUREN EDUCATION TECH CO LTD
Automatic stroke extraction method of calligraphy words
ActiveCN110659644BExact searchEasy extractionCharacter and pattern recognitionComputer graphics (images)Algorithm
The invention discloses a method for automatically extracting strokes of calligraphy single characters, which is specifically carried out according to the following steps. Step 1: grayscale and binarize a calligraphy single character picture, and according to the four neighborhoods of black pixels in the binarized picture The information of the pixel points is used to obtain the outline of the word; Step 2: Detect the corner points of the outline obtained in Step 1, and select the set of constraint edges and the set of constraint points to perform constrained Delaunay triangulation; Step 3: Calculate any two The minimum distance of the connecting triangles of the corner points in the above step 2, determine the intersection area and the stroke segments connected by the intersection area; Step 4: Carry out continuity analysis on the stroke segments connected by all the intersection areas in step 3, Conditional stroke segments are connected to obtain a single stroke outline, and the outline is filled, and finally the stroke extraction is completed. The present invention can more accurately find the intersection area in the stroke extraction of calligraphy single characters, and can better extract the compound strokes.
Owner:XIAN UNIV OF TECH
A method, apparatus, electronic device, and storage medium for extracting character strokes.
This application discloses a method, apparatus, electronic device, and storage medium for character stroke extraction. The method includes: acquiring the glyph curve of the character to be processed; performing discrete sampling on the glyph curve to obtain a discrete point set; selecting at least two stroke key points from the discrete point set to obtain a closed curve containing at least two stroke key points, thereby obtaining the character strokes. Through the above method, this application can improve the speed and accuracy of character stroke extraction.
Owner:SHANDONG KEXUN INFORMATION TECH CO LTD
Method and device for touching character segmentation in character recognition
InactiveCN102169542BShorten operation timeReduce storage spaceCharacter and pattern recognitionText recognitionDomain analysis
Owner:HANVON CORP
Handwritten Chinese character homonymous stroke extraction method based on position constraint
ActiveCN113642542AImprove applicabilityImprove accuracyImage analysisCharacter and pattern recognitionImaging processingMedicine
The invention belongs to the technical field of image processing, particularly relates to a handwritten Chinese character homonymous stroke extraction method based on position constraint, which aims to solve the problem of low extraction applicability and accuracy due to the fact that stroke arrangement is not considered in extraction of homonymous strokes of handwritten Chinese characters. The method comprises the following steps of acquiring a handwritten Chinese character image and a reference Chinese character image, respectively centrally placing foreground areas of the handwritten Chinese character image and the reference Chinese character image in the two empty images to serve as a first image and a second image, obtaining a segmented connected region of the first image, traversing the segmented connected region of the first image, and adjusting the position of the reference stroke in the second image, obtaining a homonymous stroke connected region in the first image, and outputting a point set corresponding to the homonymous stroke connected region and the outer contour thereof. The method solves the problem that extraction of homonymous strokes of handwritten Chinese characters needs to pay attention to overall fonts and consider stroke arrangement, and improves applicability and accuracy of extraction of homonymous strokes of handwritten Chinese characters.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI +1
A method for extracting strokes with the same name in handwritten Chinese characters based on position constraints
ActiveCN113642542BImprove applicabilityImprove accuracyImage analysisDigital ink recognitionPattern recognitionImaging processing
The invention belongs to the technical field of image processing, and specifically relates to a position-constrained method for extracting strokes of the same name in handwritten Chinese characters. question. The method of the present invention includes: obtaining the handwritten Chinese character image and the reference Chinese character image; centering the foreground areas of the handwritten Chinese character image and the reference Chinese character image respectively in two empty images as the first and second images; obtaining the segmented and connected images of the first image area; traverse the segmented connected area of the first image, and adjust the position of the reference stroke in the second image; obtain the connected area of the stroke with the same name in the first image; output the point set corresponding to the connected area of the stroke with the same name and its outer contour. The invention solves the problem that the stroke extraction of handwritten Chinese characters with the same name needs to pay attention to both the overall font and stroke arrangement, and improves the applicability and accuracy of the stroke extraction of the handwritten Chinese characters with the same name.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI +1
Stroke extraction method fusing template features
The invention relates to the technical field of computer vision, and discloses a template feature fusion stroke extraction method, which comprises the following steps of: extracting handwritten form and standard template feature tensors by utilizing a shared backbone network; projecting the two features to the same semantic channel through a convolutional layer, and executing differential operation to generate a difference feature tensor; the difference feature tensor drives a prediction space offset field; performing non-rigid resampling on the template feature tensor based on the space offset field to generate a calibration template feature; according to the method, a self-correction mechanism of differential driving-offset regression-elastic alignment is constructed, the technical prejudice of traditional rigid matching is avoided, and the method is based on standard template visual elasticity in the feature space, so that the accuracy of the stroke segmentation mask is greatly improved, and the accuracy of the stroke segmentation mask is improved. And topological alignment with a non-rigid deformation handwritten form is realized.
Owner:GUIZHOU JIANGNAN AEROSPACE INFORMATION NETWORK COMM CO LTD
Image recognition processing method, device, electronic device and storage medium
ActiveCN114092938BAchieve the purpose of extractionAccurate data sourceInstrumentsText recognitionComputer graphics (images)
The present application provides an image recognition processing method, device, electronic equipment, and storage medium; applied to the field of maps; the method includes: identifying at least one text area image from the image to be processed, and performing text recognition on each text area image processing to obtain the font text corresponding to each text area image in the font library; stroke extraction processing is performed on the text area image to obtain the stroke extraction result of at least one stroke frame in the text area image; based on the strokes of each stroke frame in the text area image The stroke alignment processing is performed on the extraction result and the font text corresponding to the text area image to obtain the stroke correspondence between each stroke frame in the text area image and the strokes of the font text corresponding to the text area image; through this application, it is possible to accurately and efficiently The strokes are identified from the image including the characters and correspond to the strokes of the characters in the font library.
Owner:TENCENT TECH (SHENZHEN) CO LTD
A Method of Automatic Extraction of Chinese Character Strokes Based on Manifold Learning
ActiveCN107092917BImprove accuracyImprove development efficiencyCharacter and pattern recognitionPattern recognitionComputer graphics
The invention provides a method for automatically extracting strokes of Chinese characters based on manifold learning, which belongs to the fields of artificial intelligence and computer graphics. This method guides the stroke extraction of the target character by constructing a two-dimensional manifold space of the Chinese character skeleton and finding the character with the most similar style as a reference character. The invention can solve the problem that the styles of the reference character and the target character are too different in the data-driven automatic stroke extraction method, and effectively improves the accuracy rate of stroke extraction of Chinese characters.
Owner:PEKING UNIV
A Method of Offline Chinese Character Stroke Extraction Based on Template Matching
ActiveCN104156721BConfirm dynamic writing propertiesCharacter and pattern recognitionTemplate matchingExtraction methods
The invention discloses an off-line Chinese character stroke extraction method based on template matching. The off-line Chinese character stroke extraction method comprises the following steps: stroke codes are established for all strokes of Chinese characters and serve as templates; a code is established for a given Chinese character according to the types and numbers of the strokes and serve as a template; the framework line of the given off-line Chinese character is extracted; the framework line is dismantled into four types of stroke segments according to the directions of four strokes namely transverse, vertical, left-falling and right-falling; the stroke segments, which can possibly form new strokes through end-to-end connection, are connected to form new quasi-strokes, and the new quasi-strokes are identified according to the directions and the stroke segment composition features; the quasi-strokes, the stroke code template of the given Chinese character and the Chinese character code templates are matched to confirm all strokes of the off-line Chinese character. With adoption of the method capable of extracting the strokes of the off-line Chinese character through the framework, confirmation of each stroke of the off-line Chinese character can be facilitated, and support can be provided for giving dynamic writing attributes to the strokes of the off-line Chinese character and even the whole off-line Chinese character and for researching and developing the generation technology of a new Chinese character font library.
Owner:南京文木教育科技有限公司
Handwriting normativity monitoring method and system based on image enhancement
The invention discloses a handwriting normativity monitoring method and system based on image enhancement, and relates to the technical field of image processing and intelligent evaluation, and the method comprises the steps: obtaining a handwritten character image through multi-light-source adaptive light supplement, carrying out the image preprocessing of geometric correction, adaptive binarization and the like, and carrying out the recognition of the handwritten character image; character skeleton topological structure features are extracted by using a convolutional neural network to perform structure normative analysis, meanwhile, a pen point movement track is extracted based on an optical flow method and time sequence normative analysis is performed, after structure and time sequence bimodal features are fused, a scoring model constructed based on a style migration network is input to calculate a normative score, and the normative score is obtained. And a hierarchical error correction report is automatically generated according to the scoring grade and the deviation type. The technical problems of incomplete stroke extraction, insufficient structural analysis precision, lack of dynamic writing feature modeling and lack of hierarchy of error correction feedback under complex illumination and shielding conditions in the prior art are solved.
Owner:DALIAN HOUREN EDUCATION TECH CO LTD
Handwritten Chinese character stroke splitting method and device, equipment, medium and product
The invention discloses a handwritten Chinese character stroke splitting method and device, equipment, a medium and a product, and relates to the technical field of image processing, and the method comprises the steps: carrying out the recognition and extraction of a handwritten Chinese character in an obtained target image, and obtaining a target Chinese character and a recognition result of the target Chinese character; according to the recognition result of the target Chinese character, obtaining and temporarily storing a target stroke matrix of the target Chinese character from a Chinese character stroke order library; according to the stroke sequence of each target stroke matrix of the target Chinese character, sequentially executing stroke extraction operation on each target stroke matrix of the target Chinese character, extracting target strokes, and obtaining a stroke splitting result of the target Chinese character; after executing the stroke extraction operation each time, if the stroke sequence of the current target stroke matrix is greater than 1 and the orientation of the target historical stroke in the target Chinese character is inconsistent with the orientation of the target historical stroke in the current stroke splitting result, performing orientation exchange on the current target stroke and the target historical stroke; the stroke splitting effect is improved.
Owner:BEIJING SHUANGYOU YUNQIAO EDUCATION TECHNOLOGY CO LTD
Copybook generation system based on deep neural network
PendingCN113076793ACharacter and pattern recognitionNeural architecturesAlgorithmComputer graphics (images)
The invention provides a copybook generation system based on a deep neural network, and the system comprises a font preparation system, a stroke extraction system, a generation system, and a construction model evaluation system. The font preparation system transmits handwritten fonts to the system in the form of photos for a user. The stroke extraction system is used for respectively extracting single strokes or connected strokes of fonts in a picture, the generation system is used for learning according to the association of the single strokes and the connected strokes to form a font model, and the model evaluation system is constructed for evaluating the quality of the font model so as to form a closest font library. So the method has the advantage that corresponding full-text font library fonts can be formed according to different fonts of each person in a short time.
Owner:无锡乐骐科技股份有限公司