Abstract
Face recognition is a key subject of the research on biological features. This paper describes the whole process of face recognition, and makes the relevant study on feature extractions and identifies ways of the face recognition from the angle of learning. It listed four basic methods of feature extractions and comparing.
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References
Pan, Z., Bolouri, H.: High speed face recognition based on discrete cosine transforms and neural networks. University of Hertfordshire, UK (1999)
Zhao, H., Zhong, J.: The automatic face recognition based on shape and vein. The Research and Development of Computer 40(3), 22–23 (2003)
Abate, A.F., Nappi, M., Riccio, D., Sabatino, G.: 2D and 3D face recognition: A survey. Pattern Recognition Letters 28, 1885–1906 (2007)
Bronstein, A.M., Bronstein, M.M., Kimmel, R.: Three-dimensional face recognition. International Journal of Computer Vision 64(1), 5–30 (2005)
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© 2012 Springer-Verlag Berlin Heidelberg
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Xue, D., Li, Z., Hao, S. (2012). Face Feature Extraction and Face Recognition. In: Jin, D., Lin, S. (eds) Advances in Electronic Engineering, Communication and Management Vol.1. Lecture Notes in Electrical Engineering, vol 139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27287-5_10
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DOI: https://doi.org/10.1007/978-3-642-27287-5_10
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27286-8
Online ISBN: 978-3-642-27287-5
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