14 March 2013 A face recognition algorithm based on ASM and Gabor features of key points
Author Affiliations +
Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 87686L (2013) https://doi.org/10.1117/12.2006172
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore
Abstract
In this paper, an algorithm of face recognition based on the active shape model (ASM) and Gabor features of key points was proposed. Firstly AdaBoost algorithm was used to detect the face region in an image. Then the ASM was used to localize the key feature points in the detected facial region. The Gabor features of these points were extracted. Finally the features were classified using support vector machines (SVM). Preliminary experiments on ORL database show promising results of the proposed algorithm. This algorithm can reduce the computational cost efficiently and obtain the features that contribute to classification of faces.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ju Wu, Ju Wu, Lin Mei, Lin Mei, } "A face recognition algorithm based on ASM and Gabor features of key points", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87686L (14 March 2013); doi: 10.1117/12.2006172; https://doi.org/10.1117/12.2006172
PROCEEDINGS
6 PAGES


SHARE
RELATED CONTENT

Gender classification from neutral and expressive faces
Proceedings of SPIE (December 24 2013)
Sampling design for face recognition
Proceedings of SPIE (April 17 2006)
Gait recognition based on fusion features
Proceedings of SPIE (October 30 2009)

Back to Top