作者
Jamal Ahmad Dargham, Ali Chekima, Sigeru Omatu
发表日期
2008/3
期刊
Artificial Life and Robotics
卷号
12
页码范围
301-306
出版商
Springer Japan
简介
Lip detection is used in many applications such as face detection and lip reading. In this article, a method for lip detection in color images in a normalized RGB color scheme is presented. In this method, MLP neural networks are used to perform lip detection on segmented skin regions. Several combinations of chrominance components of the normalized RGB color space were used as the input to the neural networks. Two methods were used for obtaining the normalized RGB components from the RGB color scheme. These are called the maximum and intensity normalization methods, respectively. The method was tested on two Asian databases. The number of neurons in the hidden layer was determined by using a modified network-growing algorithm. It was found that the pixel intensity normalization method gave lower lip detection error than the maximum intensity normalization method regardless of the …
引用总数
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学术搜索中的文章
JA Dargham, A Chekima, S Omatu - Artificial Life and Robotics, 2008