基于LEM的在线掌纹识别

主要研究利用掌纹对人进行身份鉴定。在掌纹的各种特征中，线特征是一种非常重要的特征，但由于掌纹线不规则，几乎不能用数学进行精确的刻画，因此提出了一种用直线段去近似掌纹线的方法，利用线段Hausdorff距离方法去匹配这些线段集，并对其进行了改进。实验的结果表明了该方法的有效性。

Online palmprint recognition using line edge map

How to make use of palmprint to do the personal identification is the study focus of this paper. Line feature, among all the features of palmprint, is a very important one. However, considering the palmprint lines are very irregular and hardly accurate depicted with mathematics, this paper proposed an approach that these palmprint lines were approximately represented by some line segments, and put forward employing the line segment Hausdorff distance method to match two sets of line segments, and meanwhile improved this method. The experiment shows our approach can achieve very effective personal identification.