Palmprint Recognition Using Palm-line Direction Field Textures

摘要：

Compared with the Palm line structure features, palmprint texture features extraction and description are easier. But, with the increase in the number of palmprint samples, these features are not enough to be powerful. In order to solve the problem, the paper proposed a new approach to enhance the distinguish capability of texture features for palmprint recognition. It uses classical results on Riemannian geometry to obtain the information of palm lines and construct direction fields of palm lines. The direction fields become a part of the textures of the palmprint image to enhance the distinguish capability of texture features. Finally, the dual-tree complex wavelet transform based local binary pattern weighted histogram method (DT-CWT based LBPWH) is used to extract enhanced texture features. The experimental results illustrate the effectiveness of the method.

关键词： biometrics palmprint recognition texture features Riemannian geometry dual-tree complex wavelet transform local binary pattern histogram

作者: Yanxia Wang Guanghua Sun

作者单位: College of Mathematics, Physics and Information Enginering Zhejiang Normal University jinhua,China College of Mathematics, Physics and Information Enginering Zhejiang Normal University Jinhua, China

会议类型: 国际会议

会议名称: 2011 International Conference on Information and Industrial Electronics(2011年信息与工业电子国际会议 ICIIE 2011)

会议地点: 成都

会议语种:英文

页码: 397-400

在线出版日期: 2011-01-14（万方平台首次上网日期，不代表论文的发表时间）