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.
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Wang, X., Zhang, X. (2004). Gabor Wavelet-Based Eyes and Mouth Detection Algorithm. In: Li, S.Z., Lai, J., Tan, T., Feng, G., Wang, Y. (eds) Advances in Biometric Person Authentication. SINOBIOMETRICS 2004. Lecture Notes in Computer Science, vol 3338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30548-4_13
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DOI: https://doi.org/10.1007/978-3-540-30548-4_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24029-7
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