Hand Vein Infrared Image Segmentation for Biometric Recognition

Abstract

In this paper we propose a technique for both finding vein regions from thermal dorsal hand images and extracting features for biometric recognition ; our technique analyzes the geometry of the hand to isolate the vein regions and extract some features (vein bifurcations and ending points) for being used as features in the training sets for classifiers. Commonly, the features extracted are used as geometric and descriptive representation of the vein patterns which are matched with hand vein images in a database in order to determine/verify the person's identity.