基于离线文本独立的笔迹鉴别系统设计

Handwriting Identification System Design Based on Off-line Text-independent

笔迹鉴别是通过分析手写字符的书写风格来判断书写人身份的一门技术,利用改进型多通道Gabor滤波器来提取笔迹图像的纹理特征,用最邻近分类器进行分类。本设计中采集了12个人的不同笔迹,取得了较好的结果。

Handwriting identification is a kind of technology that determines one＇ s identity by the analysis of whose writing style. It extracts texture features of handwriting image by multi - channel Gabor filters and makes classification by most neighboring classifier. This design uses 12 individuals＇ handwriting simples and achieves good results.