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Proceedings Paper

Face identification using algebraic features of images
Author(s): Ke Liu; Jingyu Yang; Lei-Jian Liu; Ying-Jiang Liu; Ching Y. Suen
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Paper Abstract

This paper proposes a new technique for the identification of face images. The basis idea is that the front face images of a person are considered as the samples coming from multiple classes, each class corresponding to the face images of one head orientation. Therefore, for each person, we can take his front facial images from a number of head orientations as training data based on which an algebraic feature extractor and a classifier can be built for this person. The problems of feature extraction, classifier design, face verification and recognition are discussed in this paper. Experimental results are also provided.

Paper Details

Date Published: 25 October 1994
PDF: 8 pages
Proc. SPIE 2277, Automatic Systems for the Identification and Inspection of Humans, (25 October 1994); doi: 10.1117/12.191893
Show Author Affiliations
Ke Liu, Concordia Univ. (Canada)
Nanjing Univ. of Science and Technology (China)
Jingyu Yang, Nanjing Univ. of Science and Technology (China)
Lei-Jian Liu, Nanjing Univ. of Science and Technology (China)
Ying-Jiang Liu, Nanjing Univ. of Science and Technology (China)
Ching Y. Suen, Concordia Univ. (Canada)


Published in SPIE Proceedings Vol. 2277:
Automatic Systems for the Identification and Inspection of Humans
Richard J. Mammone; J. David Murley Jr., Editor(s)

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