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Data Fusion for Face Recognition

  • Conference paper
Book cover Distributed Computing and Artificial Intelligence

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 79))

Abstract

Face recognition is an important biometric because of its potential applications in many fields, such as access control, surveillance, and human-computer interface. In this paper, we propose a rule-based face recognition system that fuses the output of two face recognition systems based on principal component analysis (PCA). One system uses the face image while the other use the Radon transform of the same face image. In addition, both systems use the Euclidean distance is the matching criteria. Both systems are trained using the same training images database, and fed with the same test input image at same time and the recognition result of each system is serving as input for the fusion decision stage. The proposed system is found to be better (97% recognition rate for recall and 93% for reject) than either system alone

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Author information

Authors and Affiliations

  1. School of Engineering and Information Technology, University Malaysia Sabah, Locked Bag 2073, Teluk Likas, 88999, Kota Kinabalu, Sabah, Malaysia

    Jamal Ahmad Dargham, Ali Chekima & Ervin Moung

  2. Faculty of Engineering, Department of Electronics, Information and Communication Engineering, Osaka Institute of Technology, 5-16-1, Omiya, Asahi-ku, Osaka, 535-8585, Japan

    S. Omatu

Authors
  1. Jamal Ahmad Dargham
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  2. Ali Chekima
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  3. Ervin Moung
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  4. S. Omatu
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Sao Paulo at Sao Carlos, Sao Carlos, SP, Brazil

    Andre Ponce de Leon F. de Carvalho

  2. Department of Computing, Science and Control, Faculty of Science, University of Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Sara Rodríguez-González

  3. Department of Computing, Science and Control, Faculty of Science, University of Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Juan F. De Paz Santana  & Juan M. Corchado Rodríguez  & 

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© 2010 Springer-Verlag Berlin Heidelberg

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Dargham, J.A., Chekima, A., Moung, E., Omatu, S. (2010). Data Fusion for Face Recognition. In: de Leon F. de Carvalho, A.P., Rodríguez-González, S., De Paz Santana, J.F., Rodríguez, J.M.C. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14883-5_87

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  • DOI: https://doi.org/10.1007/978-3-642-14883-5_87

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14882-8

  • Online ISBN: 978-3-642-14883-5

  • eBook Packages: EngineeringEngineering (R0)

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