A New Skin Color Based Face Detection Algorithm by Combining Three Color Model Algorithms

Abstract

Human recognition systems have gained a considerable attention during last decade due to its vast applications in the field of computer and advantages over previous biometric methods. There are many applications with respect to security, sensitivity and secrecy. Face detection is the most important and first step of recognition system. Human detection suffers from various challenges due to variation regarding image conditions, size, resolution, poses and rotation. Its accurate and robust detection has been a great task for the researchers. There exist various numbers of methods and techniques for detection but none can guarantee successful in all conditions for all kinds of faces and images. Some methods are exhibiting good results in certain conditions and others are good with different kinds of images. Face detection based on skin color is found to be more effective technique because of the properties of skin color which is unique and can be easily separated from the other objects present in the image and background. This paper introduces a new approach to detection systems using the skin color of a subject. This system can detect a regardless of the background of the picture, which is an important phase for identification. The images used in this system are color images which give additional information about the images than the gray images provide. In detection, the two respective classes are the face and the non-face area. This new approach to detection is based on color tone values specially defined for skin area detection within the image frame.