In this paper, we propose an iris classification based on sparse representation of log-gabor wavelet features using on-line dictionary learning (ODL). There are no approaches for classification of iris images based on the pre-defined iris classes in the existing work. 2014), block-wise texture analysis ( Ross and Sunder 2010) and color information ( Zhang et al. Few researchers already explored iris classification techniques based on hierarchical visual codebook ( Sun et al. Wildes 1997 has implemented a gradient iris segmentation using Laplacian pyramid construction. Daugman proposed an iris recognition system by using gabor filters and iris codes (Daugman 1993, 2001, 2003, 2004). The complex iris texture provides the uniqueness for iris images. Even though the iris biometric is more accurate than the fingerprints, there is a need for iris adjudication process to reduce the identification errors. Fingerprint adjudication means, comparison of two fingerprints side-by-side to analyze the matched minutia features. In order to reduce the errors, fingerprint experts look for possible fingerprint matches and enhance the fingerprints to compare the minutia features manually using fingerprint adjudication process. The biometric recognition system allows few errors in the identification process. Among all the biometrics, fingerprints and iris give more accurate results in uniquely identifying the people based on minutia features. There is a need for de-duplication architecture based on biometrics which are scalable in large-scale databases. As the number of people enrolled into the biometric system runs into billions, the time complexity increases in the de-duplication process while creating a unique identity for every individual. De-duplication means the elimination of duplicate enrollments of the same person using the biometric data. De-duplication of biometrics plays a key role in providing unique identity of a person. A unique identity (UID) number creation for every person removes the requirement of producing mutliple documentary proofs for availing the services. Various government sectors in the world provide welfare services like NREGS (national rural employment guarantee system), TPDS (targeted public distribution system), old age pensions, health insurance etc.
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