Seperating iris texture and cosmetic contact lens by using independent component analysis
碩士 === 國立交通大學 === 光電工程研究所 === 105 === Many iris recognition systems operate under the assumption of a lack of cosmetic contact lens, because the use of cosmetic contact lenses severely degrades the accuracy of iris recognition system. In this thesis, we propose using independent component analysis t...
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ndltd-TW-105NCTU51240022019-06-27T05:25:48Z http://ndltd.ncl.edu.tw/handle/b49g28 Seperating iris texture and cosmetic contact lens by using independent component analysis 以獨立成分析法分離虹膜瞳孔放大片之研究 Wang, Wei 王偉 碩士 國立交通大學 光電工程研究所 105 Many iris recognition systems operate under the assumption of a lack of cosmetic contact lens, because the use of cosmetic contact lenses severely degrades the accuracy of iris recognition system. In this thesis, we propose using independent component analysis to avoid the features of cosmetic contact lenses being extracted. Firstly, we design an image acquisition system that is able to capture two different bands of wavelength. Then, we assumed the texture of the iris and the cosmetic contact lens are two independent components. The images of the iris with a cosmetic lens are formed through linear addition. Lastly, the theory of independent component analysis is used to estimate the component of the cosmetic contact lens. In order to acquire iris features that are free from the texture of cosmetic lens, we used the component of cosmetic contact lens as the mask in the extraction of the iris features. Extensive experiments are conducted on a database containing more than 2000 iris images of iris both normal and wearing cosmetic contact lens, and captured through 4 different bands of wavelength. Experiment result shows that the proposed method is able to achieve at least minimum, a 3 times enhancement in verification rate. Tien, Chung-Hao Chang, Shu-Wei 田仲豪 張書維 2016 學位論文 ; thesis 48 zh-TW |
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碩士 === 國立交通大學 === 光電工程研究所 === 105 === Many iris recognition systems operate under the assumption of a lack of cosmetic contact lens, because the use of cosmetic contact lenses severely degrades the accuracy of iris recognition system. In this thesis, we propose using independent component analysis to avoid the features of cosmetic contact lenses being extracted. Firstly, we design an image acquisition system that is able to capture two different bands of wavelength. Then, we assumed the texture of the iris and the cosmetic contact lens are two independent components. The images of the iris with a cosmetic lens are formed through linear addition. Lastly, the theory of independent component analysis is used to estimate the component of the cosmetic contact lens. In order to acquire iris features that are free from the texture of cosmetic lens, we used the component of cosmetic contact lens as the mask in the extraction of the iris features.
Extensive experiments are conducted on a database containing more than 2000 iris images of iris both normal and wearing cosmetic contact lens, and captured through 4 different bands of wavelength. Experiment result shows that the proposed method is able to achieve at least minimum, a 3 times enhancement in verification rate.
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author2 |
Tien, Chung-Hao |
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Tien, Chung-Hao Wang, Wei 王偉 |
author |
Wang, Wei 王偉 |
spellingShingle |
Wang, Wei 王偉 Seperating iris texture and cosmetic contact lens by using independent component analysis |
author_sort |
Wang, Wei |
title |
Seperating iris texture and cosmetic contact lens by using independent component analysis |
title_short |
Seperating iris texture and cosmetic contact lens by using independent component analysis |
title_full |
Seperating iris texture and cosmetic contact lens by using independent component analysis |
title_fullStr |
Seperating iris texture and cosmetic contact lens by using independent component analysis |
title_full_unstemmed |
Seperating iris texture and cosmetic contact lens by using independent component analysis |
title_sort |
seperating iris texture and cosmetic contact lens by using independent component analysis |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/b49g28 |
work_keys_str_mv |
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