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http://dx.doi.org/10.9717/kmms.2017.20.2.108

Lip Region Extraction by Gaussian Classifier  

Kim, Jeong Yeop (School of Undeclared Majors, Youngsan University)
Publication Information
Journal of Korea Multimedia Society / v.20, no.2, 2017 , pp. 108-114 More about this Journal
Abstract
Lip reading is a field of image processing to assist the process of sound recognition. In some environment, the capture of sound signal usually has significant noise and therefore, the recognition rate of sound signal decreases. Lip reading can be a good feature for the increase of recognition rates. Conventional lip extraction methods have been proposed widely. Maia et. al. proposed a method by the sum of Cr and Cb. However, there are two problems as follows: the point with maximum saturation is not always regarded as lips region and the inner part of lips such as oral cavity and teeth can be classified as lips. To solve these problems, this paper proposes a method which adopts the histogram-based classifier for the extraction of lips region. The proposed method consists of two stages, learning and test. The amount of computation is minimized because this method has no color conversion. The performance of proposed method gives 66.8% of detection rate compared to 28% of conventional ones.
Keywords
lip/skin Color Analysis; Lip Region Extraction;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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