Dorsal hand vein recognition based on directional filter bank
Signal, Image and Video Processing(2014)
摘要
With the increasing needs of security systems, vein recognition is reliable as one of the important solutions for biometrics-based identification systems. The obvious and stable line-feature-based approach can be used to clearly describe dorsal hand vein patterns for personal identification. In this paper, a directional filter bank involving different orientations is designed to extract vein patterns and the minimum directional code is employed to encode line-based vein features into binary code. In addition, there are many non-vein areas in the vein image, which are not meaningful for vein recognition. To improve accuracy, the non-vein areas are detected by evaluating the variance of the minimum directional filtering response image and are considered as non-orientation code. In total, 4,280 dorsal hand vein images from 214 persons are used to validate the proposed dorsal hand vein recognition approach. A high accuracy ( > 99
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关键词
Biometrics,Dorsal hand vein recognition,Directional filter bank,Minimum directional code
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