Abstract
An artificial neural network recognition method for human faces has been developed. The method utilizes a connectionistic approach of a multi-layered artificial neural network, based on the supervised back-propagation learning algorithm. After an introduction into the general field of computer-based recognition of human faces, related problems and the requirements needed for implementation are discussed. After a brief description of the back-propagation algorithm, the development and implementation of the proposed method will be presented and experimental results related to human face identification reported.
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© 1991 Springer-Verlag Berlin Heidelberg
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Ghezal, A. (1991). Automated Human Face Recognition Using an Artificial Neural Network. In: Radig, B. (eds) Mustererkennung 1991. Informatik-Fachberichte, vol 290. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-08896-8_8
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DOI: https://doi.org/10.1007/978-3-662-08896-8_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-54597-2
Online ISBN: 978-3-662-08896-8
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