Investigation and Analysis of Hough-DCT-Hamming Distance Based Method of Iris Recognition
Prabhat Kumar Pallav1, S. R. Ganorkar2
1Prabhat Kumar Pallav, Sinhgad College of Engineering, Pune (Maharastra), India.
2Dr. S.R. Ganorkar, Sinhgad College of Engineering, Pune (Maharastra), India
Manuscript received on 11 June 2013 | Revised Manuscript received on 17 June 2013 | Manuscript Published on 30 June 2013 | PP: 181-185 | Volume-3 Issue-1, June 2013 | Retrieval Number: A0947063113/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: As we know that iris recognition is widely used biometric identification system. This system is having growing future in the area of security. In the real time security systems we need to have reliable, efficient, faster iris recognition system. Iris recognition process is consisting of iris segmentation, normalization, localization as well as matching techniques. And hence the performance of this system is majorly depends on use of such techniques. In this paper we will first present the literature review over the different methods for iris segmentation, iris encoding as well matching. Thereafter, we will present the experimental evaluation of Hough-DCT-Hamming distance based Iris Recognition system. We simulated this approach using MATLAB and different datasets.
Keywords: Iris Segmentation, Hough Transform, Canny Edge, DCT, False Acceptance Rate, False Rejection Rate.
Scope of the Article: Pattern Recognition