基于笔迹的身份鉴别

提出了一种鉴别笔迹的新方法.现有的笔迹识别方法大多需要进行分割或关联部分的分析,都是与内容相关的方法.在新方法里,把手写笔迹作为一种纹理来看待,将笔迹鉴别的问题转化为纹理识别来处理,这是一种与内容无关的方法.使用多通道二维Gabor滤波器来提取这些纹理的特征,并使用加权欧氏距离分类器来完成匹配工作.在实验中,使用了17个人的不同笔迹,取得了很好的结果.

Writer Identification Based on Texture Analysis

In this paper, we describe a new method to identify the writer of Chinese handwriting documents. There are many methods for signature verification or writer identification, but most of them require segmentation or connected component analysis. In our new method, we take the handwriting as an image containing some special texture and writer identification is regarded as texture identification. This is a content independent method. We employ the well-established 2-D Gabor filtering technique to extract features of such textures and a weighted Euclidean distance classifier to fulfil the identification task. Experiments were made using Chinese handwritings from 17 different people and very promising results were achieved.