Biometric authentication system based on palm vein

Palm vein recognition systems are one of the newest biometric technologies to have arisen in the recent past. Palm vein authentication uses the vascular patterns of an individual's palm of the hand as personal identification data. Veins and other subcutaneous features in the human hand present large, robust, stable and largely hidden patterns. In the proposed work, we present a palm vein verification system. In the proposed work, the Gaussian-Second-Derivative (GSD) is proposed for enhancement the palm vein images. Secondly, a new feature extraction method based on Gabor filter and Fisher Discriminated Analysis (FDA) is proposed called Gabor Fisher Vein Feature (GFVF). Finally, the Cosine Distance method is proposed for verify the tested palm vein. The EER to the proposed system is 0.0333%.