The disquisition includes choice of algorithm , accomplish of algorithm , collection of learning sample , parameter of net , shortcoming of bp algorithm , extraction and reduction form line etc . referring to shortcoming of traditional bp algorithm , a modified learning factor with adaptation is introduced . because of every different font has robust , the way based chain coded and knaggy feature is used . a bizarre sample feature database is constructed for speeding up modified bp learning and classification 本文对人工神经网络理论进行了研究，探讨了网络形式及算法的选择、算法的实现、学习样本的收集、网络参数选择、 bp算法缺陷、表格线提取、还原、生成及字符识别、还原生成等问题，并针对bp算法的缺陷提出了和实现了改进型bp算法，使网络学习效率提高，对不同人的不同字型字体有较强的鲁棒性，采用了基于链码特征和凹凸分布特征的方法来抽取字符特征。
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