National Conference on Advances in Communication and Computing |
Foundation of Computer Science USA |
NCACC2014 - Number 1 |
December 2014 |
Authors: Gayatri A. Patil, Shailaja A. Patil |
5c80b1df-780a-4287-9924-f29058fa8dd8 |
Gayatri A. Patil, Shailaja A. Patil . Face Detection using RGB Ratio Model. National Conference on Advances in Communication and Computing. NCACC2014, 1 (December 2014), 18-20.
In this paper, we proposed face detection algorithm based on RGB Ratio model. Face detection is used to find faces in images. This algorithm has a simple procedure which is divided into two steps, first to segment image using RGB Ratio Model and secondly, to classify this regions into face or non-face skin regions. It uses RGB ratio model in combination with fuzzy classifier to quickly locate faces in images. RGB ratio color model is used for skin color segmentation. Basically, this color model is used to remove non-skin like pixels from an image. Each skin region is actually represents a human face or not, checked by using human face features based on knowledge of geometrical properties of human face. The experiment result shows that the algorithm gives satisfactory output.