Extraction of Visual Features for Lipreading
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boosted Bayesian Kernel Classifier Method for Face Detection
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 01
Automatic Lip Extraction Based on Wavelet Transform
GCIS '09 Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04
Automatic lip contour extraction from color images
Pattern Recognition
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The lips movements are important in speech recognition and the Lip image segmentation has a significant role in image analysis. In this paper we present a novel technique to recognize Persian Vowels. The method is based on face detection and pupil location. First we perform the lip localization, then the color space CIE L*U*V* and CIE L*a*b* is used in order to improve the contrast between the lip and the other face regions. After that, the lip segmentation by using the Haar wavelet has done and the feature vectors has been extracted from the Haar wavelet result. Finally, the extracted feature vector has been used as neural network inputs and the vowels recognized. The proposed method has been applied on 100 tested images and the accuracy is about 79%.