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General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, Engineering & Technology Digital Library, and Crossref, DOAJ, Electronic Journals LibraryEI (INSPEC, IET).
    • E-mail:  ijfcc@ejournal.net 
Editor-in-chief
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2014Vol.3(6): 444-451 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2014.V3.344

Hybridization of Bimodal Biometrics for Access Control Authentication

T. Zuva, O. A. Esan, and S. M. Ngwira
Abstract—Single biometric trait for authentication is widely used in some application areas where security is of high importance. However, biometric systems are susceptible to noise, intra-class variation, non-universality and spoof attacks. Thus, there is need to use algorithms that overcome all these limitations found in biometric systems. The use of multimodal biometrics can improve the performance of authentication system. This study proposed using both fingerprint and face for authentication in access system. The study integrated fingerprint and face biometric to improve the performance in access control system. Fingerprint biometric, this paper considered restoration of distorted and misaligned fingerprints caused by environmental noise such as oil, wrinkles, dry skin, dirt, displacement etc. The noisy, distorted and/or misaligned fingerprint produced as a 2-D on x-y image, is enhanced and optimized using a hybrid Modified Gabor Filter-Hierarchal Structure Check (MGF-HSC) system model. In face biometric Fast Principal Component Analysis (FPCA) algorithm was used in which different face conditions (face distortions) such as lighting, blurriness, pose, head orientation and other conditions are addressed. The algorithms used improved the quality of distorted and misaligned fingerprint image. They also improved the recognition accuracy of distorted face during authentication. The results obtained showed that the combination of both fingerprint and face improve the overall performance of biometric authentication system in access control.

Index Terms—Biometrics, multimodal, authentication, fast principal component analysis.

The authors are with Tshwane University of Technology, Soshanguve Campus, South Africa (e-mail:zuvaT@tut.ac.za, esanomobayo@tut.ac.za, ngwiraSM@tut.ac.za).

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Cite: T. Zuva, O. A. Esan, and S. M. Ngwira, "Hybridization of Bimodal Biometrics for Access Control Authentication," International Journal of Future Computer and Communication vol. 3, no. 6, pp. 444-451, 2014.

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