Novel Facial Features Segmentation Algorithm |
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| Authors: | JIANG Wei SHEN Ting-zhi WANG Xiao-hua ZHANG Jian |
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| Affiliation: | School of Information Science and Technology,Beijing Institute of Technology,Beijing 100081,China;School of Information Science and Technology,Beijing Institute of Technology,Beijing 100081,China;School of Information Science and Technology,Beijing Institute of Technology,Beijing 100081,China;School of Information Science and Technology,Beijing Institute of Technology,Beijing 100081,China |
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| Abstract: | An efficient algorithm for facial features extractions is proposed. The facial features we segment are the two eyes, nose and mouth. The algorithm is based on an improved Gabor wavelets edge detector, morphological approach to detect the face region and facial features regions, and an improved T-shape face mask to locate the extract location of facial features. The experimental results show that the proposed method is robust against facial expression, illumination, and can be also effective if the person wearing glasses, and so on. |
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| Keywords: | facial feature segmentation Gabor wavelets morphological approach T-shape mask |
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