Title :
Off-line handwritten Chinese character recognition based on crossing line feature
Author :
Chen, Youbin ; Ding, Xiaoqing ; Wu, Youshou
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
A new method to extract crossing line features for off-line handwritten Chinese character recognition is proposed in this paper. Firstly, the input pattern is nonlinearly normalized in order to compensate for shape variations. Secondly, the normalized pattern is separated into four subpatterns according to the four kinds of elementary strokes. Thirdly, the four subpatterns are uniformly divided into M×M cells respectively. In every cell, the crossing lines are counted. Then a 4M2-dimensional feature vector is generated. An off-line handwritten Chinese character recognition system is built based on this feature. Our experiments have demonstrated the effectiveness of the method proposed in this paper
Keywords :
feature extraction; handwriting recognition; optical character recognition; crossing line feature extraction; elementary strokes; feature vector generation; nonlinear shape normalization; off-line handwritten Chinese character recognition; shape variation compensation; subpatterns; Algorithm design and analysis; Character recognition; Feature extraction; Handwriting recognition; Image processing; Nonlinear distortion; Optical character recognition software; Pattern recognition; Shape; Statistical analysis;
Conference_Titel :
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location :
Ulm
Print_ISBN :
0-8186-7898-4
DOI :
10.1109/ICDAR.1997.619842
