A Code-Level Approach to Heterogeneous Iris Recognition | |
Liu, Nianfeng![]() ![]() ![]() ![]() | |
发表期刊 | IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
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2017-10-01 | |
卷号 | 12期号:10页码:2373-2386 |
文章类型 | Article |
摘要 | Matching heterogeneous iris images in less constrained applications of iris biometrics is becoming a challenging task. The existing solutions try to reduce the difference between heterogeneous iris images in pixel intensities or filtered features. In contrast, this paper proposes a code-level approach in heterogeneous iris recognition. The non-linear relationship between binary feature codes of heterogeneous iris images is modeled by an adapted Markov network. This model transforms the number of iris templates in the probe into a homogenous iris template corresponding to the gallery sample. In addition, a weight map on the reliability of binary codes in the iris template can be derived from the model. The learnt iris template and weight map are jointly used in building a robust iris matcher against the variations of imaging sensors, capturing distance, and subject conditions. Extensive experimental results of matching cross-sensor, high-resolution versus low-resolution and, clear versus blurred iris images demonstrate the code-level approach can achieve the highest accuracy in compared with the existing pixel-level, feature-level, and score-level solutions. |
关键词 | Iris Recognition Heterogeneous Cross-sensor Markov |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1109/TIFS.2017.2686013 |
关键词[WOS] | SUPERRESOLUTION ; SYSTEMS |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National Key Research and Development Program of China(2016YFB1001000) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB02080007) ; National Natural Science Foundation of China(61573360) |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000406238100001 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/14807 |
专题 | 模式识别实验室 |
作者单位 | Chinese Acad Sci, Inst Automat, CAS Ctr Excellence Brain Sci & Intelligence Techn, Natl Lab Pattern Recognit,Ctr Res Intelligent Per, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Nianfeng,Liu, Jing,Sun, Zhenan,et al. A Code-Level Approach to Heterogeneous Iris Recognition[J]. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,2017,12(10):2373-2386. |
APA | Liu, Nianfeng,Liu, Jing,Sun, Zhenan,&Tan, Tieniu.(2017).A Code-Level Approach to Heterogeneous Iris Recognition.IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,12(10),2373-2386. |
MLA | Liu, Nianfeng,et al."A Code-Level Approach to Heterogeneous Iris Recognition".IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 12.10(2017):2373-2386. |
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