Abstract: A poor E-Security can result in the corruption of files and can enable criminals and others to access personal and financial information; the loss of trust, confidence and respect exact a far higher financial toll. In this paper the Iris recognition techniques is applied to access control and provide strong e-security. The iris is a portion of the inner eye of an individual and contains an abstract and randomly generated texture pattern arising from orientation of complex tissues within the region. The complexity and randomness of the iris also its genetic properties - no two eyes are the same, the characteristic that is dependent on genetics is the pigmentation of the iris, which determines its color and determines the gross anatomy. Details of development, that are unique to each case, determine the detailed morphology amongst various other factors, ensure that this biometric system is inarguably an exact and reliable method of identification. We shall focus on an efficient methodology of which wavelet transform is the algorithm responsible for image extraction.
Keywords: Biometrics, E-Security, Iris Recognition, Wavelet Transform, Hamming Distance.
Title: An Adaptive Effectiveness of Iris Recognition to E-Security Based on Wavelet Theory
Author: Dennis Nestory Mwighusa, Prof. Pei Zhijun
International Journal of Electrical and Electronics Research
ISSN 2348-6988 (online)
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