DocumentCode :
328888
Title :
Automatic face recognition for access control
Author :
Castellanos, Juan ; Rios, J. ; Segovia, Jeronimo
Volume :
2
fYear :
1993
fDate :
25-29 Oct. 1993
Firstpage :
1289
Abstract :
Pattern recognition is one of the fields where neural networks (NN) have been most applied. These problems have, however, been dealt with using ad hoc architectures to date. In the past, the architectures used for such problems were too large and the number of connections was such that they could not be supported by low-level hardware. Here, we propose an intermediate solution, where we attempt to optimize the performance of a simple NN and show that, using suitable learning techniques, simple architectures can be made to deal with complex problems. The task presented is the problem of authenticating individuals from an image of their face for security purposes in access control to top security environments.
Keywords :
biometrics (access control); face recognition; neural net architecture; access control; authentication; automatic face recognition; neural networks; pattern recognition; top security environments; Access control; Authentication; Cranium; Electronic mail; Face recognition; Feature extraction; Humans; Ice; Neural networks; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
Type :
conf
DOI :
10.1109/IJCNN.1993.716781
Filename :
716781
Link To Document :
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