Improving the Performance of Facial Recognition System Using Artificial Neual Network

Asogwa Tochukwu Chijindu, Ugwu Edith Angela and Mbah David Luchi
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Asogwa Tochukwu Chijindu: Computer Science, Enugu State University of Science and Technology, Enugu, Nigeria
Ugwu Edith Angela: Computer Science, Enugu State University of Science and Technology, Enugu, Nigeria
Mbah David Luchi: Computer Science, Enugu State University of Science and Technology, Enugu, Nigeria

International Journal of Research and Innovation in Applied Science, 2021, vol. 6, issue 5, 69-72

Abstract: This work presents “improving the performance of facial recognition system using artificial neural network†. The aim is to develop a more reliable and précised face recognition system. This will be achieved using the AT&T database as the training dataset, image acquisition, image processing, and artificial neural network. The work will be implemented using image processing toolbox, image acquisition toolbox, statistics and machine learning toolbox and Mathlab. The accuracy was measured using the neural network performance evaluation toolbox and the result achieved is 97.6%.

Date: 2021
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