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Reseach Article

Implementation Oriened Phase based IRIS Recognition

by Jaydeep N. Kale, Nilesh G. Pardeshi, Vikas N. Nirgude
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 110 - Number 11
Year of Publication: 2015
Authors: Jaydeep N. Kale, Nilesh G. Pardeshi, Vikas N. Nirgude
10.5120/19362-0978

Jaydeep N. Kale, Nilesh G. Pardeshi, Vikas N. Nirgude . Implementation Oriened Phase based IRIS Recognition. International Journal of Computer Applications. 110, 11 ( January 2015), 24-26. DOI=10.5120/19362-0978

@article{ 10.5120/19362-0978,
author = { Jaydeep N. Kale, Nilesh G. Pardeshi, Vikas N. Nirgude },
title = { Implementation Oriened Phase based IRIS Recognition },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 110 },
number = { 11 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 24-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume110/number11/19362-0978/ },
doi = { 10.5120/19362-0978 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:46:06.336300+05:30
%A Jaydeep N. Kale
%A Nilesh G. Pardeshi
%A Vikas N. Nirgude
%T Implementation Oriened Phase based IRIS Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 110
%N 11
%P 24-26
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Phase based image matching is one of the technique which is used for iris recognition. In this technique phase component present in Two dimensional (2D) Discrete Fourier Transform (DFT) of given images are used to determine similarity between two images. This technique can be used for developing applications such as access control system. But here problem is size of iris database. As number of individuals using such application will go on increasing, size of iris database will also go on increasing. This paper discusses the method which is used to address this problem. In this paper 2D Fourier phase code (2D FPC) is used to represent iris information. Instead of storing whole iris image, only 2D FPC is stored in the database which reduces size of required database significantly. This method is evaluated with CASIA iris image database (version 1. 0).

References
  1. Kazuyuki Miyazawa, Koichi Ito, Takafumi Aoki, Koji Kobayashi, Hiroshi Nakajima, "An Effective Approach for Iris Recognition Using Phase-Based Image Matching" IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 30, no. 10, Oct. 2008
  2. J. Daugman, "High-Confidence Visual Recognition of Persons by a Test of Statistical Independence," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 15, no. 11, pp. 1148-1161, Nov. 1993.
  3. L. Ma, T. Tan, Y. Wang, and D. Zhang, "Efficient Iris Recognition by Characterizing Key Local Variations," IEEE Trans. Image Processing, vol. 13, no. 6, pp. 739-750, June 2004.
  4. W. Boles and B. Boashash, "A Human Identification Technique Using Images of the Iris and Wavelet Transform," IEEE Trans. Signal Processing, vol. 46, no. 4, pp. 1185-1188, Apr. 1998.
  5. Iris Image Database, Inst. Automation, Chinese Academy of Sciences, http://www. sinobiometrics. com/,2008.
  6. K. Takita, M. A. Muquit, T. Aoki, and T. Higuchi, "A Sub-Pixel Correspondence Search Technique for Computer Vision Applications," IEICE Trans. Fundamentals, vol. 87-A, no. 8, pp. 1913-1923,Aug. 2004.
  7. K. Ito, H. Nakajima, K. Kobayashi, T. Aoki, and T. Higuchi, "A Fingerprint Matching Algorithm Using Phase-Only Correlation," IEICE Trans. Fundamentals, vol. 87-A, no. 3, pp. 682-691, Mar. 2004.
  8. K. Ito, A. Morita, T. Aoki, T. Higuchi, H. Nakajima, and K. Kobayashi, "A Fingerprint Recognition Algorithm Using Phase- Based Image Matching for Low-Quality Fingerprints," Proc. 12th IEEE Int'l Conf. Image Processing, vol. 2, pp. 33-36, Sept. 2005.
  9. K. Ito, A. Morita, T. Aoki, T. Higuchi, H. Nakajima, and K. Kobayashi, "A Fingerprint Recognition Algorithm Combining Phase-Based Image Matching and Feature-Based Matching," Advances in Biometrics, vol. 3832, pp. 316-325, Jan. 2006.
  10. H. Nakajima, K. Kobayashi, M. Morikawa, A. Katsumata, K. Ito, T. Aoki, and T. Higuchi, "Fast and Robust Fingerprint Identification Algorithm and Its Application to Residential Access Controller," Advances in Biometrics, vol. 3832, pp. 326-333, Jan. 2006.
Index Terms

Computer Science
Information Sciences

Keywords

Iris recognition Biometrics 2D DFT.