Iris feature extraction method based on LBP and chunked encoding

Yuqing He*, Guangqin Feng, Yushi Hou, Li Li, Evangelia Micheli-Tzanakou

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

14 引用 (Scopus)

摘要

Iris feature extraction is a key issue in iris recognition. This paper proposes a novel iris feature extraction method based on local binary pattern (LBP) images and the chunked encoding method. Firstly it applies the LBP to the normalized iris image and obtains the iris' LBP image, then extracts the iris's feature via the chunked encoding method based on the iris' statistical information. Finally it completes the iris recognition and classification using Hamming distance. Experimental results showed that this algorithm can get higher recognition rate than the traditional iris feature extraction method, which demonstrated the efficiency of the proposed method.

源语言英语
主期刊名Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011
1663-1667
页数5
DOI
出版状态已出版 - 2011
已对外发布
活动2011 7th International Conference on Natural Computation, ICNC 2011 - Shanghai, 中国
期限: 26 7月 201128 7月 2011

出版系列

姓名Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011
3

会议

会议2011 7th International Conference on Natural Computation, ICNC 2011
国家/地区中国
Shanghai
时期26/07/1128/07/11

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