汉字识别中，以往的分类器设计都是以字为单位的“字分类器”。
In Chinese Character Recognition, the classifier was designed as word classifier whose classification unit is a word in the past.
应用字符的特征矩阵设计了一个手写体汉字的分类识别算法，取得了较好的效果。
A handwritten Chinese character classifying algorithm is designed based on the character feature matrix with the excellent classifying effect.
通过粗分类、特征提取、判别与反馈校正，以提高汉字图像识别适应性和识别准确率。
The coarse classification, characteristics pick-up, judgement and feedback are used in the machine to increase the recognition adaptability and accuracy.
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