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ASME Press Select Proceedings

International Conference on Advanced Computer Theory and Engineering, 5th (ICACTE 2012)

Editor
Xie Yi
Xie Yi
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ISBN:
9780791860045
No. of Pages:
938
Publisher:
ASME Press
Publication date:
2012

The lip-reading has caused increasing focus of attention, in which feature extraction determines the recognition performance. Firstly, this paper employs the principle component analysis as the feature extraction approach. A mouth shape database is established, which consists of five Chinese vowels pronunciation lip images. Then, several experiments have been conducted to investigate the performances of PCA applied to lip feature extraction. The statistical results indicate that the average recognition accuracy of pronunciation mouth i and o is up to 70%, with maximum 100% recognition accuracy

1. Introduction
2. Principle Componet Ayalysis
3. Feature Extraction with PCA
4. Recognition System
5. Experiment and Result
6. Conlusion
References
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