Abstract: A palm vein recognition method based on the directional multi-scale sparse coding (DMSC) was proposed to promote the recognition accuracy and operation efficiency. Firstly, the global and local orientation information were calculated from the palm vein region of interest area. Then, the directional multi-scale Gabor filter were convolved in every sub-region independently. Finally, a feature extraction mechanism based on spare coding was implemented, and the feature matrices were formed by appearance-based method. The similarity of two feature matrices were measured by normalized Hamming distance. Experiments show that the proposed DMSC method achieves higher recognition accuracy and operation efficiency than other palm vein recognition methods.

Key words: sparse coding, palm vein recognition, multi-scale Gabor filter