作者: Tien Dzung Nguyen , Quy Tran Thanh , Thang Man Duc , Trang Nguyen Quynh , Thang Manh Hoang
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摘要: In this paper, a support vector machine (SVM) classifier has been used to detect face in an authentication application. A candidate is first allocated from the input frame and then normalized 200×200 pixels images. The textureness of candidates measured by combination BDIP BVLC moments classified into non-face ones SVM which known as efficient classification tool. learning, DB 2500 faces non-faces created under different light conditions expressions. experiments showed that effectiveness features for based issue face-detection system.