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.

An Image Rotation Approach for Hand Dorsal Vein Recognition

“…The next phase of the pre-processing is the minutiae extraction, as another experiment we segmented veins from images applying dynamic enhancement and 2-D Wiener filters as suggested and tested in [13,14]. In figure 7a, the results of vein enhancement are reported.…”