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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
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KEYWORDS
Iris Recognition, Hough Transform, SIFT, Key-Points, Human Recognition
ABSTRACT
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.
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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.
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Miss Mansi Jhamb
USIT - India
mansi.jhamb@gmail.com
Mr. Vinod Kumar Khera
- India