A secure palm vein recognition system |
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| Authors: | Kuang-Shyr Wu Jen-Chun Lee Tsung-Ming Lo Ko-Chin Chang Chien-Ping Chang |
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| Affiliation: | 1. Department of Computer Science and Information Engineering, Chien Hsin University of Science and Technology, Jhongli 320, Taiwan, ROC;2. Department of Electrical Engineering, Chinese Naval Academy, Kaohsiung 813, Taiwan, ROC;3. Department of Computer and Communication, China University of Technology, Hukou Township, Hsinchu County 303, Taiwan, ROC;4. Department of Electrical and Electronic Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan 335, Taiwan, ROC |
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| Abstract: | With the increasing needs in security systems, vein recognition is one of the important and reliable solutions of identity security for biometrics-based identification systems. The obvious and stable line-feature-based approach can be used to clearly describe a palm vein patterns for personal identification. In this paper, a directional filter bank involving different orientations is designed to extract the vein pattern and the minimum directional code (MDC) is employed to encode the line-based vein features in binary code. In addition, there are many non vein pixels in the vein image and those pixels are unmeaning for vein recognition. To improve the accuracy, the non-vein pixels are detected by evaluating the directional filtering magnitude (DFM) and considered the non-orientation code. A total of 5120 palm vein images from 256 persons are used to verify the validity of the proposed palm vein recognition approach. High accuracies (>99%) and low equal error rate (0.54%) obtained by the proposed method show that our proposed approach is feasible and effective for palm vein recognition. |
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| Keywords: | Identity security Biometrics Palm vein recognition Directional filter bank Minimum directional code |
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