A Feature Vector Generation Technique through Gradient Correction of an Outline in the Mouth Region
Jung Hwan Park, Jong Jin Jung, Guk Boh Kim · Journal of Korea Multimedia Society · 2014
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.