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Journal of Electronic Imaging

Efficient iris texture analysis method based on Gabor ordinal measures
Author(s): Imen Tajouri; Walid Aydi; Ahmed Ghorbel; Nouri Masmoudi
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Paper Abstract

With the remarkably increasing interest directed to the security dimension, the iris recognition process is considered to stand as one of the most versatile technique critically useful for the biometric identification and authentication process. This is mainly due to every individual’s unique iris texture. A modestly conceived efficient approach relevant to the feature extraction process is proposed. In the first place, iris zigzag “collarette” is extracted from the rest of the image by means of the circular Hough transform, as it includes the most significant regions lying in the iris texture. In the second place, the linear Hough transform is used for the eyelids’ detection purpose while the median filter is applied for the eyelashes’ removal. Then, a special technique combining the richness of Gabor features and the compactness of ordinal measures is implemented for the feature extraction process, so that a discriminative feature representation for every individual can be achieved. Subsequently, the modified Hamming distance is used for the matching process. Indeed, the advanced procedure turns out to be reliable, as compared to some of the state-of-the-art approaches, with a recognition rate of 99.98%, 98.12%, and 95.02% on CASIAV1.0, CASIAV3.0, and IIT Delhi V1 iris databases, respectively.

Paper Details

Date Published: 28 July 2017
PDF: 12 pages
J. Electron. Imag. 26(4) 043012 doi: 10.1117/1.JEI.26.4.043012
Published in: Journal of Electronic Imaging Volume 26, Issue 4
Show Author Affiliations
Imen Tajouri, Ecole Nationale d'Ingénieurs de Sfax (Tunisia)
Walid Aydi, Univ. de Sfax (Tunisia)
Ahmed Ghorbel, Univ. de Sfax (Tunisia)
Nouri Masmoudi, Ecole Nationale d'Ingénieurs de Sfax (Tunisia)


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