Face identification by means of a neural net classifier

• URL: http://arxiv.org/abs/2204.00305v1
• Date: Fri, 1 Apr 2022 09:30:28 GMT
• Title: Face identification by means of a neural net classifier
• Authors: Virginia Espinosa-Duro, Marcos Faundez-Zanuy
• Abstract summary: We present a novel face identification method that combines the eigenfaces theory with the Neural Nets. A recognition rate of more than 87% has been achieved, while the classical method of Turk and Pentland achieves a 75.5%.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: This paper describes a novel face identification method that combines the eigenfaces theory with the Neural Nets. We use the eigenfaces methodology in order to reduce the dimensionality of the input image, and a neural net classifier that performs the identification process. The method presented recognizes faces in the presence of variations in facial expression, facial details and lighting conditions. A recognition rate of more than 87% has been achieved, while the classical method of Turk and Pentland achieves a 75.5%.

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