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Multiscale Iris Representation for Person Identification

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IJCA Special Issue on Advanced Computing and Communication Technologies for HPC Applications
© 2012 by IJCA Journal
ACCTHPCA - Number 4
Year of Publication: 2012
Authors:
Vijay M. Mane
Gaurav V. Chalkikar
Milind E. Rane

Vijay M Mane, Gaurav V Chalkikar and Milind E Rane. Article: Multiscale Iris Representation for Person Identification. IJCA Special Issue on Advanced Computing and Communication Technologies for HPC Applications ACCTHPCA(4):18-12, July 2012. Full text available. BibTeX

@article{key:article,
	author = {Vijay M. Mane and Gaurav V. Chalkikar and Milind E. Rane},
	title = {Article: Multiscale Iris Representation for Person Identification},
	journal = {IJCA Special Issue on Advanced Computing and Communication Technologies for HPC Applications},
	year = {2012},
	volume = {ACCTHPCA},
	number = {4},
	pages = {18-12},
	month = {July},
	note = {Full text available}
}

Abstract

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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