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November Edition 2018

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An Access Control System using Bimodal Biometrics

A.S. Falohun, O.D. Fenwa, A.O. Oke. Published in Security

International Journal of Applied Information Systems
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: A.S. Falohun, O.D. Fenwa, A.O. Oke
10.5120/ijais2016451510
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  1. A S Falohun, O D Fenwa and A O Oke. Article: An Access Control System using Bimodal Biometrics. International Journal of Applied Information Systems 10(5):41-47, February 2016. BibTeX

    @article{key:article,
    	author = "A.S. Falohun and O.D. Fenwa and A.O. Oke",
    	title = "Article: An Access Control System using Bimodal Biometrics",
    	journal = "International Journal of Applied Information Systems",
    	year = 2016,
    	volume = 10,
    	number = 5,
    	pages = "41-47",
    	month = "February",
    	note = "Published by Foundation of Computer Science (FCS), NY, USA"
    }
    

Abstract

In today's society, advances in technology have made life easier by providing us with higher levels of knowledge through the invention of different devices. However, each technological innovation harbours the potential of hidden threats to its users. One major threat is theft of private or personal data, information and properties. As digital data become more prevalent, users try to secure their information with highly encrypted passwords and ID cards. However, the misuse and theft of these security measures are also on the rise, taking advantage of security flaws in ID cards result in cards being duplicated or counterfeited and being misused. This increasing battle with cyber security has led to the birth of biometric security systems.

In this work, iris and fingerprint samples were acquired using the iris camera and Secugen pattern extracting sensor respectively. The pre-processing of the acquired images were done, after which templates were generated and stored. Verification of the acquired images was done and voting fusion techniques was used to fuse the information presented by individual modalities. A door prototype was constructed with electric circuit design and an iris and fingerprint recognition software development using MatLab. was interfaced with the door prototype.

The developed system was tested widely with the pre-enrolled subjects as well as freshly introduced subjects. The red light indicator showed the hardware and software connection and door lock .With template match, the door opens ( green light indicator comes on accompanied with the buzzer), and with non-match, the door is not opened (red light remains and the buzzer is off).

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Keywords

Fourier-Mellin Transform, Bimodal, Multimodal, Verification, Authentication