Fusing facial features for face recognition

Jamal Ahmad Dargham and Ali Chekima and Moung, Ervin Gubin (2012) Fusing facial features for face recognition. In: 9th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2012, 28-30 March 2012, Salamanca, Spain.

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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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Keyword: Bunch graph, Face recognition, Gabor filter, Image processing, Wavelet, Biometric methods, Bunch graph, Face recognition systems, Facial feature, Facial landmark, First systems, Gaborjets, Landmark selection, Potential applications, Recognition rates, Selection methods, wavelet, Access control, Artificial intelligence, Biometrics, Gabor filters, Image processing, Face recognition
Subjects: Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General) > TA1-2040 Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Department: SCHOOL > School of Engineering and Information Technology
Depositing User: ADMIN ADMIN
Date Deposited: 22 Nov 2012 11:42
Last Modified: 08 Sep 2014 12:46
URI: https://eprints.ums.edu.my/id/eprint/5427

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