Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
30 results about "Stroke extraction" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
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
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
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
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
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
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
A stroke width extraction method and device, and a character recognition method and system
ActiveCN103455816BImprove accuracyGuaranteed computing speedCharacter and pattern recognitionHistogramStroke width
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
Method for extracting and authenticating stroke extraction and connection characteristics in online handwriting authentication
ActiveCN111310543AEfficient extractionImprove authentication capabilitiesDigital data authenticationDigital ink recognitionPattern recognitionHandwriting
The invention relates to the field of information security, and discloses a method for extracting and authenticating stroke extraction and connection characteristics in online handwriting authentication. The method comprises the following steps: carrying out stroke extraction and pen feature pre-learning; obtaining the probability of occurrence of the false extraction and continuous extraction features in the crowd; registering stroke extraction and connection stroke characteristics, counting the occurrence frequency of stroke virtual extraction and connection stroke characteristics of a registered user, finding out stable virtual extraction and connection stroke according to the occurrence frequency, authenticating the stroke extraction and connection stroke characteristics, calculating the occurrence probability of stable and consistent combination of the virtual extraction stroke and the connection stroke in the crowd, and taking the probability as a basis for further judgment. Theinvention discloses a method for extracting and authenticating stroke extraction and connection characteristics in online handwriting authentication. According to the method, the characteristics of the virtual extraction pen or the continuous extraction pen in the local strokes can be effectively extracted, the occurrence probability of the stable and consistent combination of the virtual extraction pen and the continuous extraction pen in the crowd is estimated, a writing mode which violates writing standards and is stable can be recognized, and the handwriting authentication performance is improved.
Owner:HUBEI UNIV OF TECH
A Soft Pen Chinese Character Transformation Method Based on Writing Feature Editing
ActiveCN105069742BRealize analysisImplement extractionGeometric image transformationHandwritingAlgorithm
The invention discloses a soft-pen Chinese character transformation method based on writing feature editing. This method can be used to extract the writing features of Chinese characters in inscriptions or soft-pen copybooks and to generate soft-pen Chinese characters with customized writing features. First, appropriate noise reduction algorithms, binary operations, and contour smoothing methods are selected to preprocess the original inscription image to enhance its contrast relative to the background. And through segmentation and normalization operations, the positioning of individual Chinese characters is achieved. Secondly, a stroke extraction optimization algorithm based on contour triangulation is implemented, and a triangular grid of Chinese characters is constructed based on preprocessing to identify stroke segments. At the same time, stroke sets are divided according to writing characteristics. Finally, a deformed Chinese character generation algorithm based on stroke features is proposed. Combining the customized feature matrix consisting of stroke centerline, width, contraction speed, curvature, etc. with the input deformation requirements, the feature matrix is modified to generate Chinese character images with different writing characteristics.
Owner:BEIHANG UNIV
A Method of Automatic Extraction of Chinese Character Strokes Based on Split Matching
ActiveCN104182748BFast extractionImprove extraction accuracyCharacter and pattern recognitionPattern recognitionExtraction methods
The invention discloses a method for automatically extracting strokes of Chinese characters based on splitting and matching, which belongs to the technical field of pattern recognition and information processing. The skeleton diagram of stroke parts, find the intersection point in the skeleton diagram, and then calculate the PBOD curve of the two-dimensional neighborhood midpoint of the intersection point in the binary image, and extract the intersection area; 3. Extract features for stroke parts, the feature Matching with the features of the stroke components in the standard library; 4. Combining the stroke segments according to the matching results to obtain the strokes of Chinese characters. The present invention can achieve satisfactory extraction effects for Chinese characters with different fonts, effectively improve the unsatisfactory extraction accuracy and slow extraction speed of Chinese character strokes, and the accuracy of stroke extraction is also getting better as the standard font library becomes more and more comprehensive. come higher.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
A method for extracting single-character strokes in calligraphy works
Owner:SHANGHAI MARITIME UNIVERSITY
Chinese character image stroke extraction method and system based on fully convolutional neural network
ActiveCN110232337BFully describe the locationFully describe the spatial relationshipCharacter and pattern recognitionNeural architecturesVisual perceptionNeural network nn
The invention belongs to the field of computer vision and pattern recognition, and specifically relates to a method and system for extracting strokes of Chinese character images based on a fully convolutional neural network, aiming to solve the problem of difficulty in extracting strokes of handwritten characters for free writing. The method of the present invention includes: extracting the region of the acquired Chinese character image; performing skeletonization operation on the overlapping region and non-overlapping region; calculating the coherence between any stroke segments in the skeletonized overlapping region; Stroke segments that belong to the same stroke are connected, and the stroke segments that are directly connected in the non-overlapping area are merged into a complete skeleton shape stroke. On the one hand, the present invention can still realize the stroke extraction of handwritten Chinese characters when the strokes of free-writing handwritten Chinese characters overlap; , greatly saving labor costs.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI
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
Character stroke extraction method and device, electronic equipment and storage medium
PendingCN114359566AAccurate extractionSave storage spaceCharacter and pattern recognitionAlgorithmDiscrete points
The invention discloses a character stroke extraction method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining a font curve of a to-be-processed character; performing discrete sampling on the font curve to obtain a discrete point set; at least two stroke key points are selected from the discrete point set, a closed curve at least containing the two stroke key points is obtained, and strokes of the character are obtained. In this way, the speed and accuracy of character stroke extraction can be improved.
Owner:山东科讯信息科技有限公司
Method for extracting strokes of handwritten Chinese characters
PendingCN114495117AImprove interpretabilityEasy to understandDigital ink recognitionSignature reading/verifyingPattern recognitionIdentity recognition
The invention discloses a method for extracting strokes of handwritten Chinese characters. The method comprises the following steps of: preprocessing a character image; calculating direction point angle features of the pixels; calculating direction point angle features of the inflection point group; and stroke extraction based on the stroke skeleton and the contour. According to the method, off-line handwritten Chinese characters can be converted into corresponding strokes, then downstream tasks such as Chinese character handwriting recognition and writer identity recognition are carried out based on the strokes, and the interpretability of the whole processing flow can be greatly improved. By using the method provided by the invention, off-line handwritten Chinese characters can be more accurately converted into corresponding strokes, so that the accuracy of downstream tasks such as subsequent Chinese character handwriting recognition and writer identity recognition is improved.
Owner:甘肃政法大学
Features
- R&D
- Intellectual Property
- Life Sciences
- Materials
- Tech Scout
Why Patsnap Eureka
- Unparalleled Data Quality
- Higher Quality Content
- 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com