The Face Detection Based on RGB Color Model and Morphology Operation

Abstract

Face detection has garnered a lot of attention and has been studied quickly in a large number of possible computer and communication applications, including automatic access control.  Also, face detection is one of the most important aspects of face recognition as a preliminary step.  Face detection is challenging due to the large number of variations in the appearance of the image, i.e., contrasting mode, clogging, image orientation, lighting condition, etc.

In this paper, we present an effective algorithm using RGB and the color model's morphological processing to detect human faces on color images.  Tested on 170 various images obtained from the internet, the proposed algorithm proved highly effective with reduced computation time. The face detector in this study test applied 71 images with 100% accuracy; it works best when the image contains group photos with a small face region.