A Human Identification Technique Through Dorsal Hand Vein Texture Analysis Based on NSCT Decomposition

Abstract

Dorsal hand vein identification has been recently given greater attention in human recognition and it’s becoming increasingly an active topic in research. This paper presents a personal identification method based on dorsal hand vein texture. The Method includes four steps, in the first one, pre-processing phase is applied on the image contrast in order to produce a better quality of dorsal hand vein image, then region of interest (ROI) is extracted, in the second step, we have proposed a novel encoding method based on Nonsubsampled contourlet transform (NSCT) and phase response information then we divided the resulting image into local region, and statistical descriptors are calculated in each block in order to reduce the size of the characteristic vector and create a code of 512 bytes. Then, we computed the modified Hamming distance between templates to find out the similarity between two dorsal hand veins.