Face Recognition Algorithm Using the Discrete Gabor Transform

This paper proposes a face recognition algorithm in which the discrete Gabor transform is used to extract the image face features vector that is then feed into a multilayer perceptron to be carried out the recognition task. The features vector, estimated using the Gabor transform, presents a small intra-person variation while the inter-persons variation is considerably large. This fact provides robustness against changes in illumination, wardrobe, facial expressions, scale, and position inside the captured image, as well as inclination, noise contamination and filtering. Proposed scheme also provides some tolerance to changes on the age of the person under analysis. Evaluation results using the proposed scheme with identification and verification configurations are given to show the desirable features of proposed algorithm