DocumentCode
316821
Title
Contextual modeling of hand written Chinese character for recognition. I. A comparative study
Author
Xiong, Yan ; Chan, Chorkin
Author_Institution
Dept. of Comput. Sci., Hong Kong Univ., Hong Kong
Volume
2
fYear
1997
fDate
2-4 Jul 1997
Firstpage
1099
Abstract
A handwritten Chinese character off-line recognizer based on contextual modeling of 2D images has been constructed. Each character is modeled by a collection of regions and their contextual relations. A relaxation training algorithm of the model is investigated. In addition, a mixture-region training algorithm considering each pixel as belonging to a mixture of regions instead of any particular one is studied
Keywords
character recognition; handwriting recognition; image recognition; 2D images; comparative study; contextual modeling; contextual relations; hand written Chinese character recognition; mixture-region training algorithm; off-line recognizer; pixel; relaxation training algorithm; Character recognition; Context modeling; Digital signal processing; Image recognition; Image segmentation; Pixel; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on
Conference_Location
Santorini
Print_ISBN
0-7803-4137-6
Type
conf
DOI
10.1109/ICDSP.1997.628557
Filename
628557
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