Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A New User Dependent Iris Recognition System Based on an Area Preserving Pointwise Level Set Segmentation Approach | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 980159 13 pages doi 2009 980159 Research Article A New User Dependent Iris Recognition System Based on an Area Preserving Pointwise Level Set Segmentation Approach Nakissa Barzegar and M. Shahram Moin Multimedia Systems Research Group Iran Telecom Research Center IT Faculty Tehran 14 399 55471 Iran Correspondence should be addressed to Nakissa Barzegar barzegar@ Received 30 September 2008 Revised 4 January 2009 Accepted 11 March 2009 Recommended by Kevin Bowyer This paper presents a new user dependent approach in iris recognition systems. In the proposed method consistent bits of iris code are calculated based on the user specifications using the user s mask. Another contribution of our work is in the iris segmentation phase where a new pointwise level set approach with area preserving has been used for determining inner and outer iris boundaries both exclusively performed in one step. Thanks to the special properties of this segmentation technique there is no constraint about angles of head tilt. Furthermore we showed that this algorithm is robust in noisy situations and can locate irises which are partly occluded by eyelid and eyelashes. Experimental results on three renowned iris databases CASIAIrisV3 Bath and Ubiris show that our method outperforms some of the existing methods both in terms of accuracy and response time. Copyright 2009 N. Barzegar and M. S. Moin. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction The demand for high-confidence authentication of human identity has grown steadily since the beginning of organized society. The identification systems using unique factors of human irises play an important role in this field. In comparison with other .
