Welcome to the InfoSci Platform
Reference Hub2
Low Level Multispectral Palmprint Image Fusion for Large Scale Biometrics Authentication

Low Level Multispectral Palmprint Image Fusion for Large Scale Biometrics Authentication

Dakshina Ranjan Kisku, Phalguni Gupta, Jamuna Kanta Sing, Massimo Tistarelli, C. Jinsong Hwang
Copyright: © 2012 |Pages: 16
ISBN13: 9781613501290|ISBN10: 1613501293|EISBN13: 9781613501306
DOI: 10.4018/978-1-61350-129-0.ch005
Cite Chapter Cite Chapter

MLA

Kisku, Dakshina Ranjan, et al. "Low Level Multispectral Palmprint Image Fusion for Large Scale Biometrics Authentication." Continuous Authentication Using Biometrics: Data, Models, and Metrics, edited by Issa Traore and Ahmed Awad E. Ahmed, IGI Global, 2012, pp. 89-104. https://doi.org/10.4018/978-1-61350-129-0.ch005

APA

Kisku, D. R., Gupta, P., Sing, J. K., Tistarelli, M., & Hwang, C. J. (2012). Low Level Multispectral Palmprint Image Fusion for Large Scale Biometrics Authentication. In I. Traore & A. Ahmed (Eds.), Continuous Authentication Using Biometrics: Data, Models, and Metrics (pp. 89-104). IGI Global. https://doi.org/10.4018/978-1-61350-129-0.ch005

Chicago

Kisku, Dakshina Ranjan, et al. "Low Level Multispectral Palmprint Image Fusion for Large Scale Biometrics Authentication." In Continuous Authentication Using Biometrics: Data, Models, and Metrics, edited by Issa Traore and Ahmed Awad E. Ahmed, 89-104. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-129-0.ch005

Export Reference

Mendeley
Favorite

Abstract

Continuous biometric authentication is a process where the installed biometric systems continuously monitor and authenticate the users. Biometric system could be an exciting application to log in to computers and in a network system. However, due to malfunctioning in high-security zones, it is necessary to prevent those loopholes that often occur in security zones. It has been seen that when a user is logged in to such systems by authenticating to the biometric system installed, he/she often takes short breaks. In the meantime some imposter may attack the network or access to the computer system until the real user is logged out. Therefore, it is necessary to monitor the log in process of the system or network by continuous authentication of users. To accomplish this work we propose in this chapter a continuous biometric authentication system using low level fusion of multispectral palm images where the fusion is performed using wavelet transformation and decomposition. Fusion of palmprint instances is performed by wavelet transform and decomposition. To capture the palm characteristics, a fused image is convolved with Gabor wavelet transform. The Gabor wavelet feature representation reflects very high dimensional space. To reduce the high dimensionality, ant colony optimization algorithm is applied to select relevant, distinctive, and reduced feature set from Gabor responses. Finally, the reduced set of features is trained with support vector machines and accomplishes user recognition tasks. For evaluation, CASIA multispectral palmprint database is used. The experimental results reveal that the system is found to be robust and encouraging while variations of classifiers are used. Also a comparative study of the proposed system with a well-known method is presented.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.