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This paper addresses the problem of face detection in grayscale images. Before make candidates it calculate membership face components that influence to make more accurate answer and rejecting false positives in detection. The proposed method detects all candidate windows that have enough membership of face components. Eyes, eyebrows and Lip are organized to build fuzzifier membership functions using their pattern, distances of their location in 2D plan, and edginess of forehead.
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