IJSER Home >> Journal >> IJSER
International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 5    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 5,May 2012
Biometric Iris Recognition for Person Identification using Cumulative Sum Algorithm
Full Text(PDF, )  PP.1257-1261  
Author(s)
Emmanvel Raj.M.Chirchi, Dr.R.D.Kharadkar
KEYWORDS
Pattern Recognition, Biometric security systems, FAR, FRR, FTE, FTA, Iris recognition
ABSTRACT
Quality of the iris pattern is achieved by using cumulative sum algorithm for feature extraction and this emphasis fast iris identification. In this paper, we describe the performance improvement by reducing FAR and FRR for quality of the algorithm, as the performance evaluation is most important for efficient iris identification if the image is occluded or covered by eyelid and very less iris image is retrieve or noisy image, though our algorithm works efficiently for correct identification of person as it is very important for the security system. We use publicly available database CASIA and UBIRISv1.
References
[1]R.P. Wilde, “Iris recognition: An Emerging Biometric Technology Proc. IEEE, Vol.85, no.9, pp. 1348-1363, 1997.

[2] 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.1185-1188,1998.

[3] C. H. Daouk, L. A. El-Esber, F. D. Kammoun and M. A. Al Alaoui.,” Iris Recognition”,IEEE ISSPIT 2002, Marrakesh- page 558.

[4]T.Mansfield and G.Kelly, D.Chandler, and J.Kane, “Biometric product testing final report”, center for mathematics and scientific computing, national physics laboratory, Middlesex, UK, March 2001.

[5] F.A.Bouchier, J.S.Athens, and G.Wells, “Laboratory evaluation of the iriscan prototype biometric identifier, Technical report SAND96-1033 RS-8232-2/960378”,sandia National Laboratories, Albuquerque, NM, April 1996.

[6] Jong-Gook Ko , Yeon-Hee Gil and Jang-Hee Yoo, “Iris Recognition using Cumulative SUM based Change Analysis”,ISPAC,IEEE,2006.

[7] YA-PING HUANG, SI-WEILUO, EN-YICHEN, ”An Efficient iris recognition system”, proceeding of the first international conference on machine learning and cybernetics, Beijing 4-5 November 2002.

[8] Christel-loïc TISSE1, Lionel MARTIN1, Lionel TORRES 2, Michel ROBERT “Person identification technique using human iris recognition”.

[9] A.Poursaberi and B.N.Araabi, “iris recognition or partially occluded images: methodology and sensitivity Analysis” Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007, Article ID 36751, 12 pages…

[10] Proença, H. and Alexandre,”{UBIRIS}: A noisy iris image database”,13th International Conference on Image Analysis and Processing - ICIAP 2005, Springer , LNCS 3617 pages 970-977, Cagliari, Italy September 2005.

[11] http://www.cbsr.ia.ac.cn/IrisDatabase

[12] John Daugman. “Recognizing persons by their iris patterns “Cambridge University, Cambridge, UK.

[13] Ruud M. Bolle, Jonathan H. Connell, Sharath Pankanti, Nalini K. Ratha, Andrew W. Senior, “Guide to Biometrics”, Springer International edition.

[14] John Daugman,” How Iris recognition works”, IEEE transactions on circuits and systems for video technology, vol. 14, no. 1, January 2004

[15] Jafar M. H. Ali, Aboul Ella Hassanien,” An Iris Recognition System to Enhance E-security Environment Based on Wavelet Theory”, AMO - Advanced Modeling and Optimization, Volume 5, Number 2, 2003.

[16] John Daugman’s web page, http://www.cl.cam.ac.uk/~jgd1000/

Untitled Page