In this paper we investigate the face recognition problem via the overlapping energy histogram of the DCT coefficients. Particularly, we investigate some important issues relating to the recognition performance, such as the issue of selecting threshold and the number of bins. These selection methods utilise information obtained from the training dataset. Experimentation is conducted on the Yale face database and results indicate that the proposed parameter selection methods perform well in selecting the threshold and number of bins. Furthermore, we show that the proposed overlapping energy histogram approach outperforms the Eigenfaces, 2DPCA and energy histogram significantly.
History
Pagination
2891 - 2896
Location
Hyderabad, India
Open access
Yes
Start date
2007-01-06
End date
2007-01-12
ISBN-13
9781577352983
Language
eng
Publication classification
E1.1 Full written paper - refereed
Copyright notice
2007, AAAI Press
Editor/Contributor(s)
M Veloso
Title of proceedings
IJCAI 2007 : Proceedings of the 20th International Joint Conference on Artificial Intelligence