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學術出版;;Publications

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收集所有交通大學研究人員與學生個人或團體所發表之各項學術著作，涵蓋期刊論文、教師專書、學位論文等項。;;Collections of Publications of NCTU Researchers and Students Like Journal Papers and Thesis.

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Access type: Open accessSubject: search.filters.subject.Face recognition

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Now showing 1 - 4 of 4
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    利用差分影像來作灰階人臉辨識
    (1998)
    莊仁輝
    ;
    JEN-HUICHUANG
    ;
    交通大學資訊科學系
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    雙眼彩色臉孔辨識之研究
    (1999)
    陳玲慧
    ;
    CHEN LING-HWEI
    ;
    交通大學資訊科學研究所
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    Accuracy enhanced thermal face recognition
    (2013-11-01)
    Lin, Chun-Fu
    ;
    Lin, Sheng-Fuu
    ;
    電控工程研究所
    ;
    Institute of Electrical and Control Engineering
    Human face recognition has been generally researched for the last three decades. Face recognition with thermal image has begun to attract significant attention gradually since illumination of environment would not affect the recognition performance. However, the recognition performance of traditional thermal face recognizer is still insufficient in practical application. This study presents a novel thermal face recognizer employing not only thermal features but also critical facial geometric features which would not be influenced by hair style to improve the recognition performance. A three-layer back-propagation feed-forward neural network is applied as the classifier. Traditional thermal face recognizers only use the indirect information of the topography of blood vessels like thermogram as features. To overcome this limitation, the proposed thermal face recognizer can use not only the indirect information but also the direct information of the topography of blood vessels which is unique for every human. Moreover, the recognition performance of the proposed thermal features would not decrease even if the hair of frontal bone varies, the eye blinks or the nose breathes. Experimental results show that the proposed features are significantly more effective than traditional thermal features and the recognition performance of thermal face recognizer is improved. (C) 2013 Elsevier B.V. All rights reserved.