A vectorizer and feature extractor for document recognition
Computer Vision, Graphics, and Image Processing
A Fast and Flexible Thinning Algorithm
IEEE Transactions on Computers
Stroke segmentation by Bernstein-Be´zier curve fitting
Pattern Recognition
Thinning Methodologies-A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optical handwritten Chinese character recognition
Handbook of pattern recognition & computer vision
A Database for Handwriting Recognition Research in Sinhala Language
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
A Novel Approach to Recover Writing Order From Single Stroke Offline Handwritten Images
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A Framework Toward Restoration of Writing Order from Single-Stroked Handwriting Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Time-efficient stroke extraction method for handwritten signatures
ACS'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Computer Science - Volume 7
An intelligent system for Chinese calligraphy
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Ribbon-like skeletonization based on contour reconstrction on intersection regions
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Proposing a new code by considering pieces of discrete straight lines in contour shapes
Journal of Visual Communication and Image Representation
Techniques for static handwriting trajectory recovery: a survey
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Accurate junction detection and characterization in line-drawing images
Pattern Recognition
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This paper describes techniques for stroke extraction used in the recognition of handwritten Chinese characters. A new set of feature points is proposed for the analysis of skeleton images. Based on a geometrical graph, a novel criterion is proposed for the identification of fork points in a skeleton image which correspond to joint points in the original character image. Experimental results indicate that the proposed method correctly determines the fork points, and is effective in unifying the joint points.