Multiscale Iris Representation for Person Identification

Reliable automatic recognition of persons has long been an attractive goal. As in all pattern recognition problems, the key issue is the relation between interclass and intra-class variability: objects can be reliably classified only if the variability among different instances of a given class is less than the variability between different classes. In line with the requirement the proposed work of automated iris recognition is presented as a biometrics based technology for personal verification. The motivation for this endeavor stems from the observation that the human iris provides a particularly interesting structure on which to base a technology for noninvasive biometric assessment. A multiscale approach is used for Iris recognition and it is compared with Log-Gabor filter approach, the proposed one gives the satisfactory results.

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