An improved method for Daugman's iris localization algorithm

Authors:
Xinying Ren;Zhiyong Peng;Qingning Zeng;Chaonan Peng;Jianhua Zhang;Shuicai Wu;Yanjun Zeng
Affiliations:
Biomechanics and Medical Information Institute, Beijing University of Technology, Beijing 100022, China;Department of Communication and Information Engineering, Guilin University of Electronic Technology, Guilin 541004, China;Department of Communication and Information Engineering, Guilin University of Electronic Technology, Guilin 541004, China;Department of Communication and Information Engineering, Communication University of China, Beijing 100024, China;Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield S1 3JD, UK;Biomechanics and Medical Information Institute, Beijing University of Technology, Beijing 100022, China;Biomechanics and Medical Information Institute, Beijing University of Technology, Beijing 100022, China
Venue:
Computers in Biology and Medicine
Year:
2008

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Abstract

Computer-based automatic recognition of persons for security reasons is highly desirable. Iris patterns provide an opportunity for separation of individuals to an extent that would avoid false positives and negatives. The current standard for this science is Daugman's iris localization algorithm. Part of the time required for analysis and comparison with other images relates to eyelid and eyelash positioning and length. We sought to remove the upper and lower eyelids and eyelashes to determine if separation of individuals could still be attained. Our experiments suggest separation can be achieved as effectively and more quickly by removing distracting and variable features while retaining enough stable factors in the iris to enable accurate identification.