Gabor wavelet-based eyes and mouth detection algorithm

Authors:
Xiangping Wang;Xingming Zhang
Affiliations:
Department of Computer Engineering and Science, South China University of Technology, GuangZhou, China;Department of Computer Engineering and Science, South China University of Technology, GuangZhou, China
Venue:
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Year:
2004

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Abstract

A Gabor wavelet-based eyes and mouth detection system is presented To extract the potential feature points in face organs, this approach combines the skin color model, grayscale gradient clue and motion model And then the position-pair of highest likelihood, which is determined from a set of rules, is taken into account We can verify all of the probable eyes-pairs by Gabor wavelet and support vector machine (SVM) as well Finally, the position of mouth has been detected according to the position of eyes The result of experiment shows, the proposed system provided higher right detection rate of right eyes and mouth In addition, the performance of system can be improved by further learning.