Fusing Facial Features for Face Recognition
Autor:
Ahmad Dargham, Jamal
; Chekima, Ali
; Gubin Moung, Ervin
Fecha:
06/2012Palabra clave:
Revista / editorial:
International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)Tipo de Ítem:
articleDirección web:
https://www.ijimai.org/journal/node/229![Open Access Open Access](/themes/Mirage2/images/reunir/openaccess.png)
Resumen:
Face recognition is an important biometric method
because of its potential applications in many fields, such as access
control, surveillance, and human-computer interaction. In this
paper, a face recognition system that fuses the outputs of three
face recognition systems based on Gabor jets is presented. The
first system uses the magnitude, the second uses the phase, and
the third uses the phase-weighted magnitude of the jets. The jets
are generated from facial landmarks selected using three selection
methods. It was found out that fusing the facial features gives
better recognition rate than either facial feature used individually
regardless of the landmark selection method.
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