Face Detection System Based on color Tone wit...

Face Detection System Based on color Tone within Image Frame Using Image Processing Technique

Author Name : Harish Bambal, Dr. V. L. Agrawal

ABSTRACT

In today’s digital world the major controversy is substantiate and identification. In substantiate and identification the eloquent role is face detection. In real time application face detection and skin detection becoming a challenging task. Human face detection systems have gained a considerable attention during last decade due to its vast applications in the various fields 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. This project introduces a new approach to face detection systems using the skin color of a subject. This system can detect a face regardless of the background of the picture, which is an important phase for face identification. The images used in this system are color images which give additional information about the images than the gray images provide.  In face detection, the two respective classes are the "face area" and the "non-face area". This new approach to face detection is based on color tone values specially defined for skin area detection within the image frame.  This system first resizes the image, and then separates it into its component R, G, and B bands. These bands are transformed into another color space which is YCbCr space and then into YCbCr space (the skin color tone). The morphological process is implemented on the presented image to make it more accurate. At last, the projection face area is taken by this system to determine the face area.

Keywords: Control Based Image Retrival, Clustring, Region Based Image Retrival, CBVIR, CBIR