NDLI: Neural nets for human face recognition

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IJCNN International Joint Conference on Neural Networks (Cat. No.92CH3114-6)

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Neural nets for human face recognition

Content Provider	IEEE Xplore Digital Library
Author	Bouattour, H. Fogelman Soulie, F. Viennet, E.
Copyright Year	1992
Description	Author affiliation: Mimetics, Chatenay Malabry, France (Bouattour, H.; Fogelman Soulie, F.)
Abstract	A neural network (NN) architecture based on a multilayer perceptron with shared weights is described. This kind of network allows direct gray-level image processing and lets the NN learn to extract image features in its hidden layers. These features allow fast classification of face images. The results of applying the architecture on large databases of varying difficulty, containing images taken in real-life unconstrained condition, are presented. A novel rejection criterion which allows the system to detect intruders is discussed.
Starting Page	700
Ending Page	704
File Size	316215
Page Count	5
File Format	PDF
ISBN	0780305590
DOI	10.1109/IJCNN.1992.227070
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-06-07
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Humans Face recognition Multi-layer neural network Multilayer perceptrons Image processing Feature extraction Face detection Image databases Spatial databases
Content Type	Text
Resource Type	Article

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