关键词: 掌纹, 离散Gabor变换, 支持向量机

Abstract: One of the most important part of the palmprint recognition is feature extraction. In this paper, we propose a new method to extract the palmprint features by the real discrete Gabor transform, which converts the spatial domain palmprint to spatial-frequency domain. We take the palmprint energy distribution in spatial-frequency domain as palmprint features. Then we make a feature match based on energy distribution features by using Euclidean distance and Support vector machine respectively. The experiment results prove that this method is robust to the palmprint with small move, small angle rotation, small flex and achieves high recognition rate.

Key words: Palmprint, Discrete gabor transform, support vector machine