Multiscale Iris Representation for Person Identification
Vijay Mahadeo Mane, Gaurav V. Chalkikar, Milind Eknath Rane · 2012
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.