Iris Segmentation

Mini Project Report on

Iris Recognition
By
Medini Brahma

: Roll 071310 No. 31320016

Saurav Kant Kumar : Roll 071310 No. 31320013
Sourav Chakravarty : Roll 071310 No. 31320014

Under the supervision of
Mr. Abhijit Biswas
(Assistant Professor)
Department of Information Technology

Department of Information Technology
ASSAM UNIVERSITY
SILCHAR, DORGACONA-788011

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DECLARATION

We hereby declare that the work on the project entitled “Iris Recognition” under the guidance of Mr. Abhijit Biswas, Assistant Professor of I.T department, School of
Technology, Assam University, Silchar has been carried out by us during our 7th semester in the year 2013.

Signed hereby

Saurav Kant Kumar

Medini Brahma

Sourav Chakravarty

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Acknowledgement
We deem it a pleasure to acknowledge our deep sense of gratitude to our guide
Mr. Abhijit Biswas, faculty member Of IT, TSSOT, AUS and Dr. Sudipto Roy, Head of department of IT. Whose support was instrumental and guidance helped us in every step of our project work and their timely advice and constant admiration, our task of completing this Mini Project was eased.
We duly thank our Teacher Mr.Abhijit Biswas, who always led his helping hand for us with their support and inspired us that in turn boosted to work more & more for the result. Thanking You.

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INDEX
Contents

Page No

Abstract …………………………………………………………………………….6
Introduction…………………………………………………………………………..7

1 General Overview.......................................................................................................8
1.1 Overview of the problem………….……………………………………..…….....8
1.2 Literature Survey………...……………………………………………………………..9
1.3 Problem Definition……………………………………………………………….10

1.4 Drawback of other recognition system.…………………………………………..10
1.5 Analysis of the problem…………………………………………………………………..11
1.6 Proposed solution Strategy………………………………………………………………..11
1.7 Advantages and Dis-advantages of Other

Bibliography: [1]. R. C. Gonzalez, R. E. Woods: Digital Image Processing. 2nd Edition, Pearson Education, India (2002). [2]. R. C. Gonzalez, R. E. Woods: Digital Image Processing using Matlab. 2nd Edition, Pearson Education, India (2002) [3]. L. Flom and A. Safir: Iris Recognition System. U.S. Patent No.4641394 (1987). (1993) 1148–1161 [5] Iris and Wavelet Transform. IEEE Transaction on Signal Processing Vol. 46 (1998) 1185-1188 (1996) 1-8 [7] Circles. Computer Vision and Image Understanding Vol. 83 (2001) 172-191 [8] [10]. Belhumeur, P.N., Hespanha, J.P., and Kriegman, D.J. (1997) Eigenfaces vs. [12]. Chedekel, M.R. (1995) Photophysics and photochemistry of melanin. In: Melanin: ItsRole in Human Photoprotection [13]. Cover, T. and Thomas, J. (1991) Elements of Information Theory. Wiley: New York. [14]. Phillips, P.J., Moon, H., Rizvi, S.A., and Rauss, P.J. (2000) The FERET evaluation methodology for face-recognition algorithms [18]. Viveros, R., Balasubramanian, K., and Balakrishnan, N. (1984) Binomial and negative binomial analogues under correlated Bernoulli trials Proced dings of ICPR, International Conference on Pattern Recognition Vol. II (2000) 805-808 [20]. S. Sirohey, A. Rosenfeld, Z. Duric: Eye Tracking. Technical Report CAR-TR-922, Center for Automation Research, University of Maryland, College Park (1999) [21]. Adini, Y., Moses, Y., and Ullman, S. (1997) Face recognition: the problem of compensating for changes in illumination direction [22]. Chedekel, M.R. (1995) Photophysics and photochemistry of melanin. In: Melanin: Its Role in Human Photoprotection [22]. Daugman, J. (1994) U.S. Patent No. 5,291,560: Biometric Personal Identi_cation System Based on Iris Analysis