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Proceedings Paper

Novel approach to human face recognition
Author(s): Ke Liu; Frederic Jallut; Ying-Jiang Liu; Yong-Qing Cheng; Jingyu Yang
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Paper Abstract

This paper presents a new method of human face recognition based on a novel algebraic feature extraction method. An input human face image is First transformed into a standard image; Then, the projective feature vectors of the standard image are extracted by projecting it onto the optimal discriminant projection vectors; Finally, face image recognition is completed by classifying these projective feature vectors. Experimental results showed that the present method is effective.

Paper Details

Date Published: 12 January 1993
PDF: 7 pages
Proc. SPIE 1771, Applications of Digital Image Processing XV, (12 January 1993); doi: 10.1117/12.139107
Show Author Affiliations
Ke Liu, East China Institute of Technology (China)
Frederic Jallut, Ecole Nationale Superieure d'Ingenieurs de Genie Electrique (France)
Ying-Jiang Liu, East China Institute of Technology (China)
Yong-Qing Cheng, East China Institute of Technology (China)
Jingyu Yang, East China Institute of Technology (China)


Published in SPIE Proceedings Vol. 1771:
Applications of Digital Image Processing XV
Andrew G. Tescher, Editor(s)

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