Robust Palmprint Recognition Base on Touch-Less Color Palmprint Images Acquired

• 作者: Haifeng Sang Jing Huang Yueshi Ma
• 来源期刊: 信号与信息处理(英文)
• 学科: 工学
• 关键词: ROBUST PALMPRINT Recognition Touch-Less Skin-Color THRESHOLDING Local Binary Patterns (LBP) Chi Square Statistic
• 年，卷（期）: 2013,（2）
• 页码范围: 134-139
• 页数: 6页
• 分类号: TP39

摘要

In order to make the environment of palmprint recognition more flexible and improve the accuracy of touchless palmprint recognition. This paper proposes a robust, touchless, palmprint recognition system which is based on color palmprint images. This system uses skin-color thresholding and hand valley detection algorithm for extracting palmprint. Then, the local binary pattern (LBP) is applied to the palmprint in order to extract the palmprint features. Finally, chi square statistic is used for classification. The experimental results present the equal error rate of 3.7668% and correct recognition rate of 97.0142%. Therefore the results show that this approach is robust and efficient in color palmprint images which are acquired in lighting changes and cluttered background for touch-less palmprint recognition system.