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
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| 刊名 | ADVANCES IN BIOMETRICS, PROCEEDINGS
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| 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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