Face Detection Using HSV Color Space And Minimal Distance Maximum Variation Approach
Abstract— This paper deals with detection of face region from a given image using HSV model. The proposed model works
with an equal efficiency even if the input image has multiple faces. The algorithm is independent of any resolution when
compared to algorithms like Haar based feature extraction which deals with smaller resolution images. The morphological
operations play a vital role in reducing the Region of Interest (ROI) and smoothening the image. The Histogram bin
approach further reduces the number of contours by eliminating the contours which do not have much intensity variation,
thereby leaving only the face part and in some situations other non-facial contours, to confirm the presence and detection of
face, we go for eye detection by minimal distance maximum variation method.