We recognize on-line handwritten figure and some mathematic characters using the HMM neural networks, and achieve a better result.
本文应用HMM概率模型和神经网络结合，对联机手写数字和数学符号进行识别。
This paper introduces an approach to recognizing on line handwritten Chinese characters, which gets ordered sequence of line segments based on the Dynamic Chinese character base units.
本文给出了一种基于动态汉字基元获取笔段有序序列的联机手写汉字识别方法。
The research on giving verification of the electronic signature in Chinese characters belongs to the research on the verification of the special off-line handwritten Chinese characters.
中文电子签名的认证方法研究可归属于特定人脱机手写汉字识别研究的范畴。
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