Human Identity Verification Using Multispectral Palmprint Fusion

Dakshina Ranjan Kisku,Jamuna Kanta Sing,Phalguni Gupta,Ajita Rattani,C Jinshong Hwang

doi:10.4236/jsip.2012.32036

Abstract

This paper presents an intra-modal fusion environment to integrate multiple raw palm images at low level. Fusion of palmprint instances is performed by wavelet transform and decomposition. To capture the palm characteristics, the fused image is convolved with Gabor wavelet transform. The Gabor wavelet based feature representation reflects very high dimensional space. To reduce the high dimensionality, ant colony optimization algorithm is applied to consider only relevant, distinctive and reduced feature set from Gabor responses. Finally, the reduced set of features is trained with support vector machines and accomplished user recognition tasks. For evaluation, CASIA multispectral palmprint database is used. The experimental results reveal that the system is robust and encouraging while variations of classifiers are used.

Highlights

The availability of multiple sources of information can reduce the redundancy in uni-modal system
The palm images are captured by using multispectral sensors as shown in Figure 4 and in two differrent sessions for each hand and the images are set to 8 bit gray-level BMP files
The first phase of experiment is conducted in which feature selection is performed using ant colony optimization technique and in the second phase, experiment is performed without using feature selection technique

Summary

Introduction

The availability of multiple sources of information can reduce the redundancy in uni-modal system. Biometric image fusion at sensor level/low level refers to a process that fuses multispectral biometric images captured by identical or different biometric sensors. This fusion produces an image in spatially enhanced form which contains richer, intrinsic and complementary information. Biometric verification systems seek considerable amount of improvement with respect to their reliability and accuracy. The palmprint recognition system has many advantages over other biometric systems in respect of reliability, low cost and user friendly. Palmprint is one of the most reliable means in personal identification because of its stability user friendliness, acceptability and uniqueness [7,12,13]

Methods

Results

Conclusion