Comparative Study on Biometric Iris Recognition based on Hamming Distance and Multi Block Local Binary Pattern

K  Saminathan; T  Chakravarthy  and M  Chithra Devi

doi:10.17485/ijst/2015/v8i11/71764

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Comparative Study on Biometric Iris Recognition based on Hamming Distance and Multi Block Local Binary Pattern

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2015/v8i11/71764

Year: 2015, Volume: 8, Issue: 11, Pages:

Original Article

Comparative Study on Biometric Iris Recognition based on Hamming Distance and Multi Block Local Binary Pattern

K. Saminathan^1*, T. Chakravarthy¹ and M. Chithra Devi²

¹Department of Computer Science, A.V.V.M. Sri Pushpam College, Poondi-613503, India; arksami@gmail.com, tcvarthy@gmail.com

²Department of Software Engineering, Periyar Maniammai University, Vallam-613403, India; m.chithradevi@gmail.com

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Personal identification based on biometric is most essential to ensure security. Recognition based on iris unique texture is a reliable, simple and fast. The abundant as well as unique patterns of iris are extracted. Matrix format template is generated that contains 4800 elements for each iris. Multi block local binary pattern, hamming distance and support vector machine performs matching based on the template’s unique features of iris. The experimental results of this proposed work illustrate a better performance. The popular CASIA (Chinese Academy of Sciences – Institute of Automation) iris database with hundred users’ eye image samples are experimented to prove, that the multi block local binary pattern is comparatively better with minimal true rejection rate.

Keywords: Hamming Distance, Iris Preprocessing, Iris Template, Multi Block Local Binary Pattern