Face

Despite its widespread use, face recognition remains unsolved due to illumination and pose challenges. This paper tackles non-uniform illumination issues using deep convolutional neural networks (CNN). Leveraging CNN’s capacity to learn local patterns, the method enhances facial recognition. By exploiting facial symmetry and considering horizontal reflections, system performance is improved. Experiments conducted on the Yale facial image dataset demonstrate the efficacy of the proposed approach.