A Novel Biometric Method for Blurred Palm Vein Images

This paper proposes a palm vein recognition system based on compressed sensing theory to solve the problem of blurred vein image recognition, and establishes a more accurate palm vein recognition system. This method is mainly composed of two parts: First, the compressed sensing is utilized to reconstruct the palm vein image extracted by the infrared sensor to obtain a clearer image than the original blurred image. Second, geometry-based method for processing palm vein images to extract image feature information easier. This paper solve the problems of blurred veins, difficult segmentation and feature information extraction in palm vein images. The accurate recognition experiment of palm vein images is conducted on the polyu database which processed by gaussian noise show that our method has advantages in accuracy compared to traditional palm vein recognition systems.