Face recognition based on radial basis function neural networks using subtractive clustering algorithm

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn 2, Issue , 2006, Pages 10294-10297

  Dang, Jianwu ^a   Wang, Yangping ^a   Zhao, Shuxu ^a  

^a LANZHOU JIAOTONG UNIVERSITY   (China)

Author keywords

Face recognition; Radial basis function (RBF)neural networks; Subtractive clustering algorithm (SCA)

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; DATA STRUCTURES; LEARNING SYSTEMS; NEURAL NETWORKS; PARAMETER ESTIMATION;

DATA POINTS; FACE IMAGES; RADIAL BASIS FUNCTION (RBF)NEURAL NETWORKS; SUBTRACTIVE CLUSTERING ALGORITHM (SCA);

FACE RECOGNITION;

EID: 34047239185     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2006.1714017     Document Type: Conference Paper

References (7)

1. Belhumeur P N, Hespanha J P, Kriegman D K. Eigenface vs fisherfaces: Recognition using class specific linear projection.IEEE Trans. On PAMI, 19(7):711-720, 1997.
2. Turk M and Pentland A. Eigenfaces for face recognition.J. Cognitive Neuroscience, 3(1):71-86, 1991.
3. Jun Zhang, Yong Yan, Martin Lades. Face recognition: Eigenface, Elastic Matching, and Neural Nets. Proceedings of the IEEE, 85(9): 1422-1435, 1998.
4. A.J.Howell and H.Buxton. Learning identity with radial basis function networks.Neurocomputing, vol. 20:15-34,1998.
5. Mark J L Orr. Introduction to Radial Basis Function Networks. April 1996.
6. Liu Liang.A Nonlinear PCA Method Based on Neural Network[J]. Control Theory and Applications,23(5): 8-11, 2004.
7. AT&T laboratories Cambridge, ORL database[DB].http://www.cam-orl.co. uk/facedatabase.html.