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In this project we are presenting an algorithm for face detection in an image using skin color segmentation and region properties.
First segmentation of skin regions from an image is done by using different color models. Skin regions are separated from the image by using thresholding.
Then to decide whether these regions contain human face or not we used face features. Our procedure is based on skin color segmentation and human face features (knowledge-based approach). We have used RGB, YCbCr, and HSV color models for skin color segmentation.
These color models with thresholds, help to remove non skin region from an image.
Each segmented skin regions are tested to know whether region is human face or not, by using human face features based on knowledge of geometrical properties of human face.