Vascular Pattern Analysis towards Pervasive Palm Vein Authentication

Debnath Bhattacharyya (Heritage Institute of Technology, India)

Poulami Das (Heritage Institute of Technology, India)

Tai-hoon Kim (Hannam University, Korea)

Samir Kumar Bandyopadhyay (University of Calcutta, India)

Abstract: In this paper we propose an Image Analysis technique for Vascular Pattern of Hand Palm, which in turn leads towards Palm Vein Authentication of an individual. Near-Infrared Image of Palm Vein pattern is taken and passed through three different processes or algorithms to process the Infrared Image in such a way that the future authentication can be done accurately or almost exactly. These three different processes are: a. Vascular Pattern Marker Algorithm (VPMA); b. Vascular Pattern Extractor Algorithm (VPEA); and c. Vascular Pattern Thinning Algorithm (VPTA). The resultant Images will be stored in a Database, as the vascular patterns are unique to each individual, so future authentication can be done by comparing the pattern of veins in the palm of a person being authenticated with a pattern stored in a database.

Keywords: Vascular Pattern, authentication, biometric, multimodal, near-infrared, signature and thinning

Categories: I.4.10, I.4.6, I.4.7, I.5.2