Face Recognition Algorithm using the Discrete Gabor transform

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4 Citas (Scopus)

Resumen

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 perception 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.

Idioma originalInglés
Título de la publicación alojada17th International Conference on Electronics, Communications and Computers, CONIELECOMP'07, Proceedings
EditorialIEEE Computer Society
Páginas35-40
Número de páginas6
ISBN (versión impresa)076952799X, 9780769527994
DOI
EstadoPublicada - 2007
Evento17th International Conference on Electronics, Communications and Computers, CONIELECOMP'07 - Puebla, México
Duración: 26 feb. 200628 feb. 2006

Serie de la publicación

Nombre17th International Conference on Electronics, Communications and Computers, CONIELECOMP'07, Proceedings

Conferencia

Conferencia17th International Conference on Electronics, Communications and Computers, CONIELECOMP'07
País/TerritorioMéxico
CiudadPuebla
Período26/02/0628/02/06

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