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Geometric Modeling and Imaging--New Trends (2006)
London, England
July 5, 2006 to July 6, 2006
ISBN: 0-7695-2604-7
pp: 209-214
Hamdy M. Kelash , Menoufia University, Egypt
Mohamed A. Berbar , Qatar University, Qatar
Amany A. Kandeel , Menoufia University, Egypt
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 re cognition, 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 stag e 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.
Hamdy M. Kelash, Mohamed A. Berbar, Amany A. Kandeel, "Faces and Facial Features Detection in Color Images", Geometric Modeling and Imaging--New Trends, vol. 00, no. , pp. 209-214, 2006, doi:10.1109/GMAI.2006.18
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