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http://dx.doi.org/10.9717/kmms.2014.17.10.1141

A Feature Vector Generation Technique through Gradient Correction of an Outline in the Mouth Region  

Park, Jung Hwan (Dept. of Computer Engineering, Graduate School, Daejin University)
Jung, Jong Jin (Dept. of Computer Engineering, Daejin University)
Kim, Guk Boh (Dept. of Computer Engineering, Daejin University)
Publication Information
Journal of Korea Multimedia Society / v.17, no.10, 2014 , pp. 1141-1149 More about this Journal
Abstract
Recently, various methods to effectively eliminate the noise are researched in image processing techniques. However, the conventional noise filtering techniques, which remove most of the noise, are less efficient for remained noise detection after filtering due to exploiting no face feature information. In this paper, we proposed a feature vector generation technique in the mouth region by distinguishing and revising the remained noise through gradient correction, when the outline is extracted after performing noise filtering.
Keywords
Gradient Correction; Feature Extraction; Feature Vector; Vector Generation; Outline of Mouth Region;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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