Academic Editor: Youssef EL FOUTAYENI
Received |
Accepted |
Published |
28 January 2020 |
12 February 2020 |
10 March 2020 |
Abstract: Face recognition is one of the most effective and relevant applications of image processing and biometric systems, and developing a computational model for it is difficult. In this work we propose a new approach to the face recognition problem based on combining co-occurrence matrix and Bayesian neural networks. Co-occurrence matrix are applied to extract the relevant information in a face image, which are important for identification. Using this we can represent face pictures with several coefficients instead of having to use the whole picture. Bayesian Neural networks are used to recognize the face through learning correct classification of the coefficients calculated by the Co-occurrence Matrix.
