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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15300

Title: Faces and Facial features Detection in Color Images
Authors: M. A. Berbar
Keywords: Human face detection, facial features, skin detection algorithm.
Issue Date: 2006
Abstract: Human face detection is concerned with finding the location and size of every human face in a given image. Face detection plays a very important role in human computer interaction field. It represents the first step in a fully automatic face recognition, facial features detection, and expression recognition. There are many techniques used in face detection, each one has its advantages and disadvantages. The face detection system presented in this paper is a hybrid of known algorithms. First stage of the proposed method is applying skin detection algorithm to specify all skin locations in the image. Second, extract face features like eyes, mouth and nose. At the last, a verification step is applied to ensure that the extracted features are facial features. In experiments on images having upright frontal faces with any background our system has achieved high detection rates and low false positives.
URI: http://hdl.handle.net/123456789/15300
Appears in Collections:College of Computer and Information Sciences

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