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Journal of Electronic Imaging

Secondary iris recognition method based on local energy-orientation feature
Author(s): Guang Huo; Yuanning Liu; Xiaodong Zhu; Hongxing Dong
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Paper Abstract

This paper proposes a secondary iris recognition based on local features. The application of the energy-orientation feature (EOF) by two-dimensional Gabor filter to the extraction of the iris goes before the first recognition by the threshold of similarity, which sets the whole iris database into two categories—a correctly recognized class and a class to be recognized. Therefore, the former are accepted and the latter are transformed by histogram to achieve an energy-orientation histogram feature (EOHF), which is followed by a second recognition with the chi-square distance. The experiment has proved that the proposed method, because of its higher correct recognition rate, could be designated as the most efficient and effective among its companion studies in iris recognition algorithms.

Paper Details

Date Published: 24 February 2015
PDF: 13 pages
J. Electron. Imaging. 24(1) 013033 doi: 10.1117/1.JEI.24.1.013033
Published in: Journal of Electronic Imaging Volume 24, Issue 1
Show Author Affiliations
Guang Huo, Jilin Univ. (China)
Northeast Dianli Univ. (China)
Yuanning Liu, Jilin Univ. (China)
Jilin University (China)
Xiaodong Zhu, Jilin Univ. (China)
Jilin University (China)
Hongxing Dong, Jilin Univ. (China)


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