基于D-S证据理论的掌纹识别

Palmprint recognition based on dempster-shafer theory of evidence

研究了掌纹识别问题,对掌纹图像特征提取、多特征的融合技术作了一定程度的探讨。采用数学形态学方法提取掌纹线特征;基于Gabor滤波器描述掌纹图像的纹理特征。利用掌纹的线特征和纹理特征两个信息分别作两个分类器的特征,利用模糊规则求出各分类器的基本概率分配函数,最后利用D-S证据理论的合成法则对两个分类器的结果进行融合判决。实验结果表明,这种方法是有效的,可行的。

The palmprint recognition is studied in detail.Some problem aboutfeature extraction,feature fusion and matching is discussed.The extraction of line feature is obtained based on mathematic morphology.Texture feature extraction based on Gabor filters is also carried out.Using line and texture features,two classifiers is designed.Then,basic probability assignment functions of the two classifiers are proposed by fuzzy regulation.At last,the result of two classifiers carries through fusion decision by D-S theory of evidence.The result of the experiment has already shown that this kind of method is valid,reasonable.