Extraction of facial images from a complex background using SGLD matrices

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This paper proposed a new method for the face extraction from a complex background. Based on the space gray level dependence (SGLD) matrices, the facial texture model composed by a set of inequalities was derived. Using this textural model, the authors designed a kind of scanning scheme for face detection in the complex backgrounds. An experiment using 60 images containing 150 faces gave the error rate 0% with the false alarm rate 5.4%.

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