A face recognition method using artificial neural networks

The present paper aims to introduce a new method of face recognition based on integrating the results of three different neural networks and discuss the final outcome from a fuzzy point of view (recognition classifier). The first merit of this method is that it is not relying on the positions of eyes and lip on an individual's face. The second is that even if the face is partially covered, the method appears fault tolerant. All the experiments of the study were carried out based on the ORL (Olivetti Research Laboratory) database with 5 training images. For the selected numbers of 20, 30, and 40 subjects, we came to the results of 94%, 92.5%, and 90.25% respectively.

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