A NOVEL SPECTRAL GRAPH THEORETIC APPROACH TO USER IDENTIFICATION USING HAND GEOMETRY

Biometric technologies are becoming the basis for highly secure identification and personal verification solutions.Handgeometry biometric identification system uses the geometric shape of the hand to identify the person. A novel graph theoreticapproach to hand geometry biometrics is presented in this paper. The user hand is represented as weighted undirected completeconnected graph and spectral properties of the graph are used as features vectors. User identification is performed usingmultilayer feed-forward neural network. Experiments show that the proposed method when tested on GPDS150 peg-free handdatabase of users’ right hand offers a promising result of 97.05% correct personal identification.