Extraction of features is critical to improve the recognition rate of off-line handwritten characters.
要提高脱机手写字符识别的识别率，关键是特征的提取。
Off-line handwritten Chinese characters recognition is a popular research point in pattern recognition field, and it can be widely used in many areas.
脱机手写体汉字识别是当前模式识别领域的一个研究热点，具有广泛的应用前景。
This thesis mainly finishes the following work in the field of off-line handwritten Chinese characters' feature extracting and auto-recognition.
本文主要在汉字字符的特征提取和自动识别方面做了如下的工作。
应用推荐