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Information Technology Journal
Year: 2010  |  Volume: 9  |  Issue: 6  |  Page No.: 1142 - 1149

A Survey of Vein Recognition Techniques

Hao Luo, Fa-Xin Yu, Jeng-Shyang Pan, Shu-Chuan Chu and Pei-Wei Tsai    

Abstract: Biometric technology is an efficient personal authentication and identification technique. As one of the main-stream branches, vein recognition has drawn much attention among researchers and diverse users. This study proposes a survey of vein recognition techniques. The basic principle, key techniques, performance evaluation metrics, application fields and future trends are extensively analyzed. In particular, in the key techniques, most previous work is systematically described and compared in three parts, i.e., vein image acquisition and preprocessing, feature extraction and feature matching. According to the available work in theoretical analysis reports in literatures and commercial utilization experiences, vein recognition has been proved to be an effective, secure and reliable choice of high precision among biometrics techniques. It maintains an excellent promise in various applications.

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