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IRHDF: Iris Recognition using Hybrid Domain Features

Arunalatha, JS and Rangaswamy, Y and Shaila, K and Raja, KB and Anvekar, Dinesh and Venugopal, KR and Iyengar, SS and Patnaik, LM (2015) IRHDF: Iris Recognition using Hybrid Domain Features. In: 12 IEEE Int C Elect Energy Env Communications Computer Control, DEC 17-20, 2015, New Delhi, INDIA.

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Official URL: http://dx.doi.org/10.1109/INDICON.2015.7443807

Abstract

Iris Biometric is a unique physiological noninvasive trait of human beings that remains stable over a person's life. In this paper, we propose an Iris Recognition using Hybrid Domain Features (IRHDF) as Dual Tree Complex Wavelet Transform (DTCWT) and Over Lapping Local Binary Pattern (OLBP). An eye is preprocessed to extract the complex wavelet features to obtain the Region of Interest (ROI) area from an iris. OLBP is further applied on ROI to generate features of magnitude coefficients. Resultant features are generated by fusion of DTCWT and OLBP using arithmetic addition. Euclidean Distance (ED) is used to match the test iris image with database iris features to recognize a person. We observe that the values of Equal Error Rate (EER) and Total Success Rate (TSR) are better than in 7].

Item Type: Conference Proceedings
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Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Electrical Sciences > Electronic Systems Engineering (Formerly, (CEDT) Centre for Electronic Design & Technology)
Date Deposited: 22 Oct 2016 07:14
Last Modified: 22 Oct 2016 07:14
URI: http://eprints.iisc.ernet.in/id/eprint/54741

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