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Fourth International Conference Document Analysis and Recognition (ICDAR'97)
Off-line Handwritten Chinese Character Recognition Based on Crossing Line Feature
Ulm, GERMANY
August 18-August 20
ISBN: 0-8186-7898-4
Youbin Chen, Tsinghua University
Xiaoqing Ding, Tsinghua University
Youshou Wu, Tsinghua University
A new method to extract crossing line feature 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 MX M cells respectively. In every cell, the crossing lines are counted. Then a 4M 2 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.
Citation:
Youbin Chen, Xiaoqing Ding, Youshou Wu, "Off-line Handwritten Chinese Character Recognition Based on Crossing Line Feature," icdar, pp.206, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997
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