An Authentication System based on Hybrid Fusion of Finger-Shapes & Geometry

Abstract

Owing to the ever increasing demand of privacy protection and security concerns, hand geometry based biometric system aimed at addressing these concerns is developed. In this study we have developed an authentication system which is based on finger shapes. The shapes of fingers are considered as patterns for extracting features using Eigen vector method and discrete wavelet transform. There are four feature types that include (i) Frequency and power content using Eigen vector method, (ii) Pisaranko’s method (iii) Wavelet entropy of individual fingers, and (iv) Specific area of finger.