alexa Abstract | IRIS RECOGNITION USING CIRCULAR HOUGH TRANSFORM
ISSN ONLINE(2319-8753)PRINT(2347-6710)

International Journal of Innovative Research in Science, Engineering and Technology
Open Access

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Research Article Open Access

Abstract

The demand for an accurate biometric system that provides reliable identification and verification of an individual has increased over the years. A biometric system that provides reliable and accurate identification of an individual is an iris recognition system. This reliability is provided by unique patterns of human iris which differs from person to person up to an extent of identical twins having different iris patterns. In this paper, we propose circular Hough transform with horizontal and vertical derivatives for edge mapping for iris recognition. The results shows that 95.6 % accuracy is achieved compared to 88.1% attained by previous system.

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Author(s): Matsoso Samuel Monaheng, Padmaja Kuruba

Keywords

Iris Segmentation, Normalization, Circular Hough Transform, Matching, Feature Extraction, Gabor Filter, Biometric Templates, Aerospace Engineering,Applied Electronics,Applied Sciences,Biomedical Engineering,Botany,Fluid Dynamics.

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