摘要

Based on directional and structural characteristics of finger vein, a novel algorithm to extract phase and directional features is proposed. Firstly, a 2D-Gabor filter is used to filter the original finger vein image in order to extract phase and directional texture features; a code is then used for feature level fusion; and finally, a modified Hamming distance matching is performed. This method is simple and does not require pre-processing image. It is also invariant to translation and rotation and performs with a fast and accurate recognition. It has a false acceptance rate of 1.65%.

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