Iris feature extraction using directional filter bank for personal identification

Authors:
C. R. Prashanth;S. P. Ganavi;T. D. Mahalakshmi;K. B. Raja;K. R. Venugopal;L. M. Patnaik
Affiliations:
University Visvesvaraya College of Engineering, Bangalore University, Bangalore;University Visvesvaraya College of Engineering, Bangalore University, Bangalore;University Visvesvaraya College of Engineering, Bangalore University, Bangalore;University Visvesvaraya College of Engineering, Bangalore University, Bangalore;University Visvesvaraya College of Engineering, Bangalore University, Bangalore;Defense Institute of Advanced Technology, Pune
Venue:
Proceedings of the 2nd Bangalore Annual Compute Conference
Year:
2009

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Abstract

Iris Recognition is a biometric tool, which has great emphasis in both research and practical applications. In this paper an Iris Recognition System using Directional Filter Bank (IRSDFB) is proposed. The normalized Iris is fragmented into three regions. The most distinctive features of the region nearer to the pupil are encoded to form the feature vector using Directional Filter Bank, instead of considering the entire Iris including the occluded portion. Therefore the Iris images captured with lesser cooperation can also be verified successfully. The decidability index of IRSDFB model is more compared to the existing algorithm using Gabor filter bank.