Palmprint verification based on robust line orientation code |
| |
| Authors: | Wei Jia De-Shuang Huang David Zhang |
| |
| Affiliation: | 1. School of Software Engineering, Tongji University, China;2. Collaborative Innovation Center of Intelligent New Energy Vehicle, Tongji University, China;3. School of Computer Science and Software Engineering, Shenzhen University, China;1. State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China;2. LE2I FRE2005 CNRS, Arts et Métiers, Univ. Bourgogne Franche-Comté, Dijon F-21000, France;3. Honda Research Institute Japan Co., Ltd., 8-1 Honcho, Wako-shi, Saitama, Japan |
| |
| Abstract: | In this paper, we propose a novel robust line orientation code for palmprint verification, whose performance is improved by using three strategies. Firstly, a modified finite Radon transform (MFRAT) is proposed, which can extract the orientation feature of palmprint more accurately and solve the problem of sub-sampling better. Secondly, we construct an enlarged training set to solve the problem of large rotations caused by imperfect preprocessing. Finally, a matching algorithm based on pixel-to-area comparison has been designed, which has better fault tolerant ability. The experimental results of verification on Hong Kong Polytechnic University Palmprint Database show that the proposed approach has higher recognition rate and faster processing speed. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
