In this paper a novel approach for iris recognition system based on iris micro-features is proposed. The proposed system follows the minutiae based approach developed for fingerprint recognition systems. The proposed system uses four iris microfeatures, considered as minutiae, for identification. The individualized characteristics are nucleus, collarette, valleys and radius. Iris recognition is divided in three main phases: image preprocessing, micro-features extraction and matching. The algorithm has been tested on CASIA v1.0 iris image database obtaining an high accuracy. The obtained experimental results have been analyzed and compared with the Daugman based approach.
VITABILE, S., CONTI, V., MILITELLO, C., SORBELLO, F. (2007). A Novel Iris Recognition System based on Micro-Features. In EDITOR (a cura di), Proc. of 2007 International Conference on Intelligent Pervasive Computing (pp. 289-294). IEEE Computer Society Press.
A Novel Iris Recognition System based on Micro-Features
VITABILE, Salvatore;CONTI, Vincenzo;MILITELLO, Carmelo;SORBELLO, Filippo
2007-01-01
Abstract
In this paper a novel approach for iris recognition system based on iris micro-features is proposed. The proposed system follows the minutiae based approach developed for fingerprint recognition systems. The proposed system uses four iris microfeatures, considered as minutiae, for identification. The individualized characteristics are nucleus, collarette, valleys and radius. Iris recognition is divided in three main phases: image preprocessing, micro-features extraction and matching. The algorithm has been tested on CASIA v1.0 iris image database obtaining an high accuracy. The obtained experimental results have been analyzed and compared with the Daugman based approach.
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