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Secondary iris recognition method based on local energy-orientation feature

[+] Author Affiliations
Guang Huo

Jilin University, College of Computer Science and Technology, Changchun 130012, China

Northeast Dianli University, Informatization Office, Jilin 132012, China

Jilin University, Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, Qianjin Street, Changchun 130012, China

Yuanning Liu, Xiaodong Zhu, Hongxing Dong

Jilin University, College of Computer Science and Technology, Changchun 130012, China

Jilin University, Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, Qianjin Street, Changchun 130012, China

J. Electron. Imaging. 24(1), 013033 (Feb 24, 2015). doi:10.1117/1.JEI.24.1.013033
History: Received October 9, 2014; Accepted January 23, 2015
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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.

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Citation

Guang Huo ; Yuanning Liu ; Xiaodong Zhu and Hongxing Dong
"Secondary iris recognition method based on local energy-orientation feature", J. Electron. Imaging. 24(1), 013033 (Feb 24, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.1.013033


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