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Abstract: Identifying a human individual from his or her face is one of the most nonintrusive modalities in biometrics. However, it is also one of the most challenging ones. This chapter discusses why it is challenging and the factors that a practitioner can take advantage of in developing a practical face recognition system. Some major existing approaches are discussed along with some algorithmic considerations. A face recognition algorithm is presented as an example along with some experimental data.... (Update)
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...objectives of our work are outlined. A. Previous work A comprehensive survey of human and machine recognition techniques can be found in [2, 3]. There are several approaches in developing face recognition systems. For example, one approach employs linear projections of face...
...being done in this area each year. In comparison, however, far more is written each year about new and different algorithms. See [14, 15] for recent surveys of face recognition algorithms. Thus, while the literature on algorithms is vast, little has been written about...
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3: Eigenfaces for recognition (context) - Turk, Pentland - 1991
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BibTeX entry: (Update)
J. Weng, and D.L. Swets, "Face Recognition," in Biometrics: Personal Identification in Networked Society (A. Jain, R. Bolle, and S. Pankanti, Eds. ), pp. 67--86, Boston, MA: Kluwer Academic, 1999. http://citeseer.ist.psu.edu/weng99face.html More
@misc{ weng99face,
author = "J. Weng and D. Swets",
title = "Face Recognition",
text = "J. Weng, and D.L. Swets, Face Recognition, in Biometrics: Personal Identification
in Networked Society (A. Jain, R. Bolle, and S. Pankanti, Eds. ), pp. 67--86,
Boston, MA: Kluwer Academic, 1999.",
year = "1999",
url = "citeseer.ist.psu.edu/weng99face.html" }
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