LIP FEATURE EXTRACTION BASED ON PCA

被引：0

作者：

Liu, He ^{[1
]}

Li, Qianyu ^{[1
]}

机构：

[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing, Peoples R China

来源：

FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING (ICACTE 2012) | 2012年

关键词：

Principal component analysis; Lip reading; Visual speech reading; Feature extraction;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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

引用

页码：21 / 25

页数：5

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