Face Detection using RGB Color Model

Abstract

Face is our primary focus of attention for conveying identity. Human face detection by computer systems has become a major field of interest. Detection of faces in a digital image has gained much importance in the last decade, with application in many fields. RGB color model is used in skin color segmentation to separate the human skin pixels. The specific values of red, green and blue components for human skin are described in this research paper. Filtering & labeling of an image and some morphological operations are used to find out face candidate. The different geometrical properties of human face are used to reject the non human face region. Specific advantages of this approach are that skin color analysis method is simple and powerful, and the system can be used to detect multiple faces. This face detector has been applied to several test images, and satisfactory results have been obtained.