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This paper describes a face recognition algorithm that extracts the eyes, nostrils and mouth features from cumulative distribution function (CDF) by applying Otsu thresholding. The algorithm, which is inspired by the probability of white pixels of binary facial image, has been tested using the BioID frontal face large database in different illuminations, expressions and lighting conditions. Illumination...
This paper proposes a novel adaptive technique to extract facial feature points automatically such as eyes corners, nostrils, nose tip, and mouth corners in frontal view faces, which are based on cumulative distribution function approach by varying different threshold values. At first, the method adopts the Viola-Jones face detector to detect the location of face and also crops the face region with...
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