The personal identification approaches using iris images are receiving increasing attention in the biometrics literature. Several methods have been presented in the literature and those based on the phase encoding of texture information are suggested to be the most promising. However, the combinations of different approaches are more promising now days, to achieve further improvement in the performance. This paper presents a comparative study of the performance from the iris authentication using Haar wavelet, Multiresolution and the proposed block sum method. Our experimental results suggest that the performance of this combination is most promising, both in terms of performance and the computational complexity. Our experimental results on the CASIA v3 database illustrate significant improvement in the performance which is not possible with either of these approaches individually.

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Iris segmentation Normalization Feature extraction Haar transform multiresolution Block sum method Knn Classifier Score fusion