High security human recognition system using iris images

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Prashanth, C.R. and Shashikumar, D.R. and Raja, K.R. and Venugopal, K.R. and Patnaik, L.M. (2010) High security human recognition system using iris images. Aceee Int. J. Signal Image Process, 1 (1). pp. 26-31.

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Abstract

In this paper, efficient biometric security technique for Integer Wavelet Transform based Human Recognition System (IWTHRS) using Iris images verification is described. Human Recognition using Iris images is one of the most secure and authentic among the other biometrics. The Iris and Pupil boundaries of an Eye are identified by Integro-Differential Operator. The features of the normalized Iris are extracted using Integer Wavelet Transform and Discrete Wavelet Transform. The Hamming Distance is used for matching of two Iris feature vectors. It is observed that the values of FAR, FRR, EER and computation time required are improved in the case of Integer Wavelet Transform based Human Recognition System as compared to Discrete Wavelet Transform based Human Recognition System (DWTHRS).

Item Type: Article
Uncontrolled Keywords: Human Recognition, Biometrics, Integer Wavelet Transforms, Iris Image, High Security.
Subjects: Faculty of Engineering > Computer Science & Information Science Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Computer Science and Information Science Engineering
Depositing User: Ms Laxmi Kamble
Date Deposited: 15 Sep 2021 07:26
Last Modified: 15 Sep 2021 07:26
URI: http://eprints-bangaloreuniversity.in/id/eprint/9524

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