基于交叉线特征的离线手写汉字识别

Proceedings of the Fourth International Conference on Document Analysis and Recognition Pub Date : 1997-08-18 DOI:10.1109/ICDAR.1997.619842

Youbin Chen, Xiaoqing Ding, Youshou Wu

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引用次数: 14

摘要

提出了一种脱机手写体汉字识别的交叉线特征提取方法。首先，输入模式非线性归一化，以补偿形状变化。其次，根据四种基本笔画将归一化模式分成四个子模式;再次，将4个子模式分别统一划分为M/ sp1次/M个单元。在每个单元格中，交叉线被计数。然后生成一个4M/sup 2维特征向量。基于这一特征，构建了离线手写汉字识别系统。实验证明了本文方法的有效性。

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Off-line handwritten Chinese character recognition based on crossing line feature

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/spl times/M cells respectively. In every cell, the crossing lines are counted. Then a 4M/sup 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.

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Proceedings of the Fourth International Conference on Document Analysis and Recognition

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