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IRIS Based Human Recognition System
Mansi Jhamb, Vinod Kumar Khera
Pages - 1 - 9     |    Revised - 31-03-2011     |    Published - 04-04-2011
Volume - 5   Issue - 1    |    Publication Date - March / April 2011   Table of Contents
Iris Recognition, Hough Transform, SIFT, Key-Points, Human Recognition
The paper explores iris recognition for personal identification and verification. In this paper a new iris recognition technique is proposed using (Scale Invariant Feature Transform) SIFT. Image-processing algorithms have been validated on noised real iris image database. The proposed innovative technique is computationally effective as well as reliable in terms of recognition rates.
CITED BY (8)  
1 Conejar, R. J., Jung, R., & Kim, H. K. (2015). The Mobility of Human Physiological Traits based on Biometrics Recognition Technology Applications.
2 Krishna, P., & Murali, N. (2014). A Dimensionality Reduced Iris Recognition System with Aid of AI Techniques. Global Journal of Researches In Engineering, 14(4).
3 Kedari, A., Deshmane, S., Gaikwad, A., & Dhote, B. L. (2014). Iris Recognition System for Secure Authentication. International Journal of Emerging Trends in Science and Technology, 1(03).
4 Poornima, S., & Subramanian, S. (2014). Unconstrained iris authentication through fusion of RGB channel information. International Journal of Pattern Recognition and Artificial Intelligence, 28(05), 1456010.
5 Kulkarni, S. R. B., Hegadi, R. S., & Kulkarni, U. P. (2013). ROI Based Iris Segmentation and Block Reduction Based Pixel Match for Improved Biometric Applications. In Advances in Computing, Communication, and Control (pp. 548-557). Springer Berlin Heidelberg.
6 Srivastava, P. C., Agrawal, A., Mishra, K. N., Ojha, P. K., & Garg, R. (2013). Fingerprints, Iris and DNA Features Based Multimodal Systems: A Review. International Journal of Information Technology and Computer Science (IJITCS), 5(2), 88.
7 Thakur, D., Sharma, D., Singh, D., & Sharma, P. (2012). Iris Recognition: An Eagle-Eye Security System. Biometrics and Bioinformatics, 4(7), 283-287.
8 Qin Xue , Hou & feed . ( 2011 ) . An improved SIFT-PCA algorithm in image retrieval . Southwest University of Science and Technology , 26 ( 4 ) , 65-70.
1 Google Scholar 
2 Academic Journals Database 
3 CiteSeerX 
4 refSeek 
5 iSEEK 
6 Socol@r  
7 Libsearch 
8 Bielefeld Academic Search Engine (BASE) 
9 Scribd 
10 WorldCat 
11 SlideShare 
12 PdfSR 
1 Y.Belganoui, J-C.Guézel and T.Mahé, « La biométrie, sésame absolu …», Industries et Techniques, France, n°817, July 2000.
2 M.M.Gifford, D.J. McCartney and C.H.Seal, « Networked biometrics systems: requirements based on iris recognition », BT Technol. Journal, Vol. 17, April 1999.
3 A.Bertillon, « la couleur de l’iris », Revue scientifique, France, 1885.
4 J.Daugman, « High confidence personal identification by rapid video analysis of iris texture », Proc. Of the IEEE, International Carnahan conf. on security technology, 1992.
5 R.P.Wildes, J.C. Asmuth, G.L. Green and S.C. Hsu, « A system for automated iris recognition », IEEE paper, 1994.
6 W.W.Boles, « a security system based on human iris identification using wavelet transform », First international conference on knowledge-based intelligent electronic systems, Adelaide, Australia. Ed, 21-23 may 1997.
7 R.Sanchez-Reillo, C.Sanchez-Avila and J-A.Martin- Pereda, « minimal template size for iris recognition », Proc. BMES/EMBS Conf., IEEE Publication, Atlanta, October 1999.
8 J.Daugman, «High confidence personal identification by rapid video analysis of iris texture », IEE Conf. Publication , European convention on security and detection, 16-18 May 1995.
9 D.Gabor, «Theory of communication », Journal IEE,Vol.93, no III, 1946.
10 J.Daugman, « Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortex filters », Journal of optical society of America, Vol. 2, 1985.
11 D.E.Benn, M.S.Nixon and J.N.Carter, « Robust eye extraction using H.T. », AVBPA’99.
12 J.P.Havlicek, J.W.Havlicek and A.C.bovik, «the analytic image », IEEE Journal, 1997.
13 D.Gabor, « Theory of communication », J. inst. Elect. Eng. London, Vol. 93, n° III, 1946.
14 A.C.Bovik, « The handbook of image processing », Ed. Bovik.
15 J.P.Havlicek, D.S.Harding, and A.C.Bovik, «Discrete quasi eigenfunction approximation for AM-FM image analysis », Proc. Of the IEEE Int. Conf. on Image Processing, 1996.
16 H. Davson, The Physiology of the Eye, 2nd ed. Boston, MA: Little, Brown & Co., 1963.
17 A. W. Drake, Fundamentals of Applied Probability Theory. New York: McGraw-Hill, 1986.
18 R. O. Duda and P. E. Hart, Pattern Classification and Scene Analysis. New York: Wiley, 1973.
19 R. A. Fisher, “The use of multiple measurements in taxonomic problems,” Annals Eugenics, vol. 7, no. 2, pp. 179–188, 1936.
20 L. Flom and A. Safir, “Iris recognition system,” U.S. Patent 4 641 349, 1987.
21 D. Gabor, “Theory of communication,” J. Inst. Elect. Eng., vol. 93, pp. 429–459, 1946.
22 S. B. Grimes and I. Kershner, Never Say Never Again, Warner Brothers, 1983
23 K. Hanna, R. Mandelbaum, L. Wixson, D. Mishra, and V. Paragana, “A system for nonintrusive human iris acquisition,” Machine Vision Applications, Tokyo, Japan, 1996, pp. 200–203.
24 J. P. Holmes, L. J. Wright, and R. L. Maxwell, “A performance evaluation of biometric identification devices,” SIL Albuquerque, NM, Tech. Rep. SAND91- 0276, 1991.
25 B. K. P. Horn, Robot Vision. Cambridge, MA: MIT Press, 1986.
26 P. Horowitz and W. Hill, The Art of Electronics, 2nd ed. New York: CUP, 1988.
27 P. V. C. Hough, “Method and means for recognizing complex patterns,” U.S. Patent 3 069 654, 1962.
28 J. Illingworth and J. Kittler, “A survey of the Hough transform,” Comput. Vision, Graph. Image Processing, vol. 44, pp. 87–116, 1988.
29 B. Jahne, Digital Image Processing, 2nd ed. Berlin: Springer- Verlag, 1993.
30 N. S. Jayant and P. Noll, Digital Coding of Waveforms. Englewood Cliffs, NJ: PH-1984.
31 F. A. Jenkins and H. E. White, Fundamentals of Optics. New York: McMillan, 1976.
32 R. G. Johnson, “Can iris patterns be used to identify people,” Los Alamos National Laboratory, CA, Chemical and Laser Sciences Division, Rep. LA-12331-PR, 1991.
33 M. Kass, A Witkin, and D. Terzopoulos, “Snakes: Active contour models,” in Proc. Int. Conf. Computer Vision, London, England, 1987, pp. 259–268.
34 A. L. Kroeber, Anthropology. New York: Harcourt Brace Jovanovich, 1948
35 P. C. Kronfeld, “The gross anatomy and embryology of the eye,” in The Eye, vol. 1, H. Davson, Ed. London: Academic, 1968, pp. 1–66.
36 N. A. Macmillan and C. D. Creelman, Detection Theory: A User’s Guide. Cambridge: Cambridge Univ. Press, 1991.
37 A. Malickas, personal communication, 1994.
38 I. Mann, The Development of the Human Eye. New York: Grune and Stratton, 1950.
39 D. Marr, Vision. New York: Freeman, 1982.
40 B. Miller, “Vital signs of identity,” IEEE Spectrum, vol. 31, pp. 22–30, Feb. 1994.
41 D. Miller, Ophthalmology. Boston, MA: Houghton Mifflin, 1979.
42 F. W. Newell, Ophthalmology Principles and Practice, 7th ed. St. Louis, MO: Mosby, 1991.
43 G. Olivier, Practical Anthropology. Springfield, IL: Charles C. Thomas, 1969.
44 W. K. Pratt, Digital Image Processing. New York: Wiley, 1978.
45 A. Samal and P. A. Iyengar, “Automatic recognition and analysis of human faces and facial expressions: A survey,” Pattern Recognit., vol. 25, pp. 65–77, 1992.
46 J. E. Siedlarz, “Iris: More detailed than a fingerprint,” IEEE Spectrum, vol. 31, p. 27, Feb. 1994.
47 P. Sinha, “A head mounted display,” Bachelor’s thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge
Miss Mansi Jhamb
USIT - India
Mr. Vinod Kumar Khera
- India