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论文类型：期刊论文

发表时间：2016-01-29

发表刊物：NEUROCOMPUTING

收录刊物：SCIE、EI、Scopus

卷号：175

期号：PartA

页面范围：515-528

ISSN号：0925-2312

关键字：Chinese ethnic groups; Improved WM Method; Anthropometry; Morphology; Facial geometric features

摘要：In this paper, a semantic description method based on improved WM algorithm is proposed to characterize the facial features of larger Chinese ethnic groups. We firstly utilize the face landmarking technique to extract facial feature points automatically. Geometric features are defined with these detected landmarks, including distances, perimeters and areas. Then the WM method is improved to generate linguistic rule from facial geometric feature data, which implements semantic description for multi-ethnic facial characteristics. Finally, a case study of learning ethnicity from face with proposed method is investigated in CEFD database. The experiment results indicate that the linguistic rule base obtained by method is competitive in ethnicity recognition compared with method Naive Bayes, C4.5, Decision Table, Random Forest, Adaboost and Logistic regression in terms of accuracy and interpretability. (C) 2015 Elsevier B.V. All rights reserved.