Title :
A Novel Iris Recognition System based on Micro-Features
Author :
Conti, V. ; Milici, G. ; Sorbello, F. ; Vitabile, S.
Author_Institution :
Univ. di Palermo Viale delle Sci., Palermo
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 micro-features, 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.
Keywords :
feature extraction; image matching; image recognition; visual databases; CASIA v1.0; Daugman based approach; collarette; fingerprint recognition systems; image preprocessing; iris image database; iris microfeatures; iris recognition system; microfeatures extraction; microfeatures matching; minutiae based approach; nucleus; radius; valleys; Biomedical imaging; Biometrics; Feature extraction; Fingerprint recognition; Humans; Image databases; Iris recognition; Spatial databases; Testing; Waveguide discontinuities; iris; micro-characteristcs; recognition system;
Conference_Titel :
Automatic Identification Advanced Technologies, 2007 IEEE Workshop on
Conference_Location :
Alghero
Print_ISBN :
1-4244-1300-1
Electronic_ISBN :
1-4244-1300-1
DOI :
10.1109/AUTOID.2007.380629
