中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Global texture analysis of iris images for ethnic classification

文献类型:期刊论文

作者Qiu, XC; Sun, Z; Tan, T; Zhang, D; Jain, AK
刊名ADVANCES IN BIOMETRICS, PROCEEDINGS
出版日期2006
卷号3832页码:411-418
英文摘要Iris pattern is commonly regarded as a kind of phenotypic feature without relation to the genes. In this paper, we propose a novel ethnic classification method based on the global texture information of iris images. So we would argue that iris texture is race related, and its genetic information is illustrated in coarse scale texture features, rather than preserved in the minute local features of state-of-the-art iris recognition algorithms. In our scheme, a bank of multichannel 2D Gabor filters is used to capture the global texture information and AdaBoost is used to learn a discriminant classification principle from the pool of the candidate feature set. Finally iris images are grouped into two race categories, Asian and non-Asian. Based on the proposed method, we get an encouraging correct classification rate (CCR) of 85.95% on a mixed database containing 3982 iris samples in our experiments.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
研究领域[WOS]Computer Science
关键词[WOS]RECOGNITION ; FEATURES
收录类别ISTP ; SCI
语种英语
WOS记录号WOS:000235768300055
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9264]  
专题自动化研究所_09年以前成果
作者单位Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Ctr Biometr & Secur Res, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Qiu, XC,Sun, Z,Tan, T,et al. Global texture analysis of iris images for ethnic classification[J]. ADVANCES IN BIOMETRICS, PROCEEDINGS,2006,3832:411-418.
APA Qiu, XC,Sun, Z,Tan, T,Zhang, D,&Jain, AK.(2006).Global texture analysis of iris images for ethnic classification.ADVANCES IN BIOMETRICS, PROCEEDINGS,3832,411-418.
MLA Qiu, XC,et al."Global texture analysis of iris images for ethnic classification".ADVANCES IN BIOMETRICS, PROCEEDINGS 3832(2006):411-418.

入库方式: OAI收割

来源:自动化研究所

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