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Biometrics has gained a lot of attention over recent years as a way to identify individuals. Of all biometrics-based techniques, the iris-pattern-based systems have recently shown very high accuracies in verifying an individual's identity. The premise here is that iris patterns are unique across people. Only the iris bit code template specific to an individual need be stored for future identity verification...
Iris recognition has been recently given greater attention in human identification and it's becoming increasingly an active topic in research. This paper presents a personal identification method based on iris. The Method includes three steps. In the first one, the eye image is processed in order to obtain a segmented and normalized eye image by applying an integrodifferential operator, Hough transform...
In this paper, iris verification algorithm using textural feature and its implementation and optimization on digital signal processor (DSP) are presented. An innovative method is proposed to extract the iris textural feature. The method evaluates on iris images taken from the CASIA iris image database version 1.0. Experimental results show that the proposed method has achieved high accuracy of 98...
A new iris recognition system based on complex wavelet Transforms is described. In this work iris recognition based on Gabor wavelet and Morlet wavelet are described. The most unique phenotypic feature visible in a person's face is the detailed texture of each eye's iris. The visible texture of a person's iris is encoded into a compact sequence of 2-D wavelet coefficients, which generate an ldquoiris...
In this paper, an efficient feature extraction algorithm based on optimized Gabor filters and a relative variation analysis approach is presented for iris recognition. The Gabor filters are optimized by tuning the parameters with the particle swarm optimization method. Moreover, a sequential filter scheme is developed to determine the number of filters in the optimal Gabor filter bank. In the preprocessing...
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