Paper title:

Investigation on Optimization in Segmentation Phase of Iris Recognition

Published in: Issue 2, (Vol. 4) / 2010
Publishing date: 2010-04-30
Pages: 41-44
Author(s): SHANMUGAM Selvamuthukumaran, NAGARAJAN Malmurugan
Abstract. In a progressively more digital society, the demand for secure identification has led to amplified development of biometric systems. Iris biometric systems are becoming widely adopted and accepted as one of the most effective ways to positively identify people. In this paper, the Segmentation phases of Iris recognition has been examined. The performance of the Segmentation phase could be amplified by the proposed optimization technique- Optimized Iris Segmentation using Sobel Edge Detection. By the proposed method, the overall rank-one recognition rate of 90% is being achieved which is much better than reported accuracies for iris recognition in the literature. Also the proposed approach makes the overall iris recognition system performance by the improvement factor of 10 fold as well.
Keywords: Iris, Security, Optimization, Segmentation, Edge Detection, Sobel Operator
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