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A Novel Iris Recognition System using Sobel Edge Detection and Binary Coded Features

Vijay S. Shinde, Soni B. Bhambar Published in Image Processing

IJAIS Proceedings on 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
Year of Publication: 2013
© 2012 by IJAIS Journal
10.5120/ncipet1349
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  1. Vijay S Shinde and Soni B Bhambar. Article: A Novel Iris Recognition System using Sobel Edge Detection and Binary coded features. IJAIS Proceedings on 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013) NCIPET(2):11-14, November 2013. BibTeX

    @article{key:article,
    	author = "Vijay S. Shinde and Soni B. Bhambar",
    	title = "Article: A Novel Iris Recognition System using Sobel Edge Detection and Binary coded features",
    	journal = "IJAIS Proceedings on 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)",
    	year = 2013,
    	volume = "NCIPET",
    	number = 2,
    	pages = "11-14",
    	month = "November",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Iris recognition is a form of biometric techniques that identifies user with the unique iris patterns between the pupil and the sclera. Biometric identification technology has been associated generally with very costly top secure applications. This paper suggests a new approach to iris recognition system. Sobel operator is used for iris edge detection. Simplicity and quickness of proposed edge detection method which is coping with binary images is considerable. Binary code representation from each iris image and a modified Hamming distance method is applied for matching process. Experimental results on UBIRIS. v1 images database which has 1877 images collected from 241 person's shows the reliability and efficiency of the proposed algorithm.

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Keywords

Biometric identification, Iris recognition, Sobel, Hamming Distance, Image processing