Securing Multiple Biometric Data Using SVD and Curvelet-Based Watermarking

Securing Multiple Biometric Data Using SVD and Curvelet-Based Watermarking

Rohit M. Thanki (C. U. Shah University, Wadhwan City, India) and Komal Rajendrakumar Borisagar (Atmiya Institute of Technology and Science, Rajkot, India)
Copyright: © 2018 |Pages: 19
DOI: 10.4018/IJISP.2018100103

Abstract

The security and privacy of biometric data in multibiometric systems has become a hot research topic. In this paper, a singular value decomposition (SVD) and fast discrete curvelet transform (FDCuT)-based watermarking scheme for authenticity of fingerprint image using watermark speech signal has been proposed and analyzed. This scheme also provides security to watermark speech signal, which is inserted into the fingerprint image. This proposed scheme has a number of steps including fingerprint image authentication using watermark speech signal. The human speech signal is taken as secret watermark information and inserting into the human fingerprint image in the proposed scheme. The singular value of high frequency curvelet coefficients of the host fingerprint image is modified according to watermark speech signal to get secured and watermarked fingerprint image. The analysis results show that the performance of fingerprint recognition system is not affected by inserted watermark speech signal into host fingerprint image.
Article Preview
Top

1. Introduction

In the 21st century, the use of computer networks and internet became part of human life. In the modern world, a human can access his/her bank account, e-material using the internet. Due to growth in these types of applications, a secure human authentication system is required and necessary. In earlier days, ID and password based traditional methods are used for human identification. But these systems are not secure and not reliable because easy to stolen and forged. Therefore, the biometric based identification system is more secure, reliable and used as an alternative to the traditional identification system. The biometric based identification system is identified human by his/her physiological characteristics such as fingerprint, facial feature, iris pattern and speech (Jain et al., 2012; Biometrics & Standards, 2009; Biometrics Testing & Statistics, 2006). There are two major concerns are associated with biometric based identification system such as first, security and privacy issue of the biometric image against spoof attack at system storage and second as stolen or modification attack when biometric image transfer from one module to another module in the system (Ratha et al., 2001).

The watermarking scheme is used for providing security against these two attacks in biometric based identification system (Rege, 2012; Jain et al., 2012; Kejariwal, 2003). The extraction of the actual watermark data is not possible in fragile watermarking scheme when any modification is applied on watermarked biometric image. This makes these techniques more suitable for security and authenticity of biometric images at system database against spoof attack. The few fragile watermarking schemes for biometric images are proposed by various researchers. These techniques are mentioned and reviewed in next subsection.

Complete Article List

Search this Journal:
Reset
Open Access Articles
Volume 14: 4 Issues (2020): 1 Released, 3 Forthcoming
Volume 13: 4 Issues (2019)
Volume 12: 4 Issues (2018)
Volume 11: 4 Issues (2017)
Volume 10: 4 Issues (2016)
Volume 9: 4 Issues (2015)
Volume 8: 4 Issues (2014)
Volume 7: 4 Issues (2013)
Volume 6: 4 Issues (2012)
Volume 5: 4 Issues (2011)
Volume 4: 4 Issues (2010)
Volume 3: 4 Issues (2009)
Volume 2: 4 Issues (2008)
Volume 1: 4 Issues (2007)
View Complete Journal Contents Listing