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A Frontal Face Detection Algorithm Using Fuzzy Classifier
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نویسنده
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Tasaltin Ramazan ,Taylan Osman
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منبع
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journal of king abdulaziz university : engineering sciences - 2007 - دوره : 18 - شماره : 1 - صفحه:37 -53
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چکیده
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Abstract. this paper describes a new approach for detecting faceswhose size, position and pose are unknown in an image. skin colorand face border information are the primary key parameters todevelop a fuzzy rule based classifier and to extract a face candidatefrom an image. at first, face candidate blobs were extracted usingskin color information, then the blob was divided into four regionsand the face borders are approximated by polynomials. second,reference polynomials were extracted by examining different faces.as a result, the deviations from reference polynomials were used by afuzzy classifier to decide whether the blob contains a face or not.
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کلیدواژه
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Face detection ,Face border information ,Fuzzy inference system ,fuzzy classifier
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آدرس
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Qassim University, Electrical Engineering Department, saudi arabia, King Abdulaziz University, College of Engineering, Industrial Engineering Department, Saudi Arabia
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پست الکترونیکی
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otaylan@kau.edu.sa
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Authors
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