基于余弦整形变换的手写汉字训练样本生成方法

提出了一种新的基于余弦整形变换的手写汉字训练样本生成方法，该方法可以有效提高现有手写汉字识别系统的识别性能。通过对原始训练样本进行基于余弦整形变换的样本生成和样本筛选，在一定程度上缓解了某些条件下训练样本不足的问题，增强了识别器的扩展能力和鲁棒性。在HCL2000数据库上进行的实验表明，该方法可有效提高汉字分类器的识别率。

Learning Pattern Generation for Handwritten Chinese Character Using Pattern Transform Method with Cosine Function

Based on pattern transform method with cosine function, a new pattern generation method for handwritten Chinese characters was proposed, which improved the performance of recognition system for handwritten Chinese characters. By using transform method with cosine function, the number of learning patterns was increased. Patterns generated artificially in this way were selected using pattern selection method and the patterns unsuitable for learning were discarded. The recognition experiment on HCL2000, a handwritten Chinese character database, showed that our method improved the recognition precision of whole system.