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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Fusing Facial Features for Face Recognition
verfasst von : Jamal Ahmad Dargham, Ali Chekima, Ervin Gubin Moung
Erschienen in: Distributed Computing and Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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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 of the, the second uses the phase, and the third uses the magnitude with phase 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.