JUCS - Journal of Universal Computer Science 15(5): 1081-1089, doi: 10.3217/jucs-015-05-1081
Vascular Pattern Analysis towards Pervasive Palm Vein Authentication
expand article infoDebnath Bhattacharyya, Poulami Das, Tai-hoon Kim§, Samir Kumar Bandyopadhyay|
‡ Heritage Institute of Technology, Kolkata, India§ Hannam University, Daejeon, Republic of Korea| University of Calcutta, Kolkata, India
Open Access
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.
authentication, near-infrared, biometric, Vascular Pattern, multimodal, signature and thinning