Research Article
P. Ghosh, R. Dutta
Abstract
Biometric Authentication is a system which deals with the physiological as well as behavioural characteristics of a person. Palm vein structure is unique for every human being even for the twins also. In this paper, firstly we made a comparison study among all different biometric authentication processes that are already been used presently. Secondly, we propose an Image Analysis technique for Vascular Pattern of Hand Palm, which in turn leads towards Palm Vein Authentication of an individual. A 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 more accurately. As an input a near-inferred image of palm vein pattern is taken and it is passed through different processes to implement authentication of an individual. The different processes are (i) Vascular Pattern Pointer Algorithm (VPPA), (ii) Vascular Pattern G-B Conversion Algorithm (VPGBCA) and (iii) Vascular Pattern Thinner Algorithm (VPTA). During first process a near-infrared image is converted into a grayscale image. In the second process the grayscale image is again converted into a binary image. Lastly, the processed binary image is finely thinned to get a proper thinned image. This VPTA process gives an edge to enrich the level of security of perfect biometric authentication to maximum level.