Face detection and recognition in color images
In this paper we describe an algorithm for a color based technique used to detect frontal human faces in images where they appear. A process for face detection, involves template matching, region clustering and color segmentation, works with high accuracy, and gives good statistical results with training images. Given the generality of the images and the templates used, the assumption would be that the implementation works well on other images, regardless of the scene lighting, size of faces or type of faces in the pictures. After detecting faces Principle component analysis is used to recognize the face of particular person from the image.
Keywords: Face Detection, Skin Color Classification, Thresholding, Feature Extraction
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