Title: Fast and accurate personal identification based on iris biometric

Authors: Somnath Dey, Debasis Samanta

Addresses: School of Information Technology, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India. ' School of Information Technology, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India

Abstract: In this paper, we propose an efficient and accurate technique to process iris biometric. Our approach handles degraded quality of eye images, occlusion of eyelids and eyelashes. Our approach considers non-circular pupil and iris boundary. With our approach it is possible to store an iris template with 304 bits only unlike 1024 bits used in majority of the existing approaches. Further, we assign different weights to different iris regions enabling us to compare two iris templates with a lesser number of features and thus achieving better accuracy. Experimental results on several iris databases establish the efficacy of our approach.

Keywords: biometrics; iris recognition; iris segmentation; feature processing; pattern recognition; pattern matching; personal identification; eye images; eyelid occlusion; eyelash occlusion; eyelids; eyelashes; eyes.

DOI: 10.1504/IJBM.2010.033389

International Journal of Biometrics, 2010 Vol.2 No.3, pp.250 - 281

Published online: 01 Jun 2010 *

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