计算机工程与应用2017，Vol.53Issue(4)：170-175,6.DOI:10.3778/j.issn.1002-8331.1507-0075
一种DCT和ELBP融合的人脸特征提取方法
Face feature extraction method based on fusing DCT and ELBP features
摘要
Abstract
It is not enough that capture various facial information using only one descriptor to face features extraction. Though, DCT(Discrete Cosine Transform)can extract the frequency feature of face image, it ignores the relationships between the adjacent pixels and abandoned the texture information. ELBP(Elongated Local Binary Pattern)consideres the direction in local area and the texture information but without global information. In this paper, a novel method is pro-posed that addressed the problems by fusing DCT and ELBP. The centralized DCT coefficients are used as frequency fea-ture, and local features of the mouth and eyes area are extracted by ELBP. Then, fusing the two features by PCA to get more effective features. Finally, 1-NN classifier is chosen to evaluate the proposed feature. Experiments on ORL and Yale face database show that the proposed method is better than just single DCT, ELBP method or the fusion method of LBP and DCT, and also improves the accuracy of face recognition.关键词
人脸识别/特征融合/离散余弦变换(DCT)/局部二值模式(ELBP)Key words
face recognition/feature fusion/Discrete Cosine Transform(DCT)/Elongated Local Binary Pattern(ELBP)分类
信息技术与安全科学引用本文复制引用
王燕,王芸芸..一种DCT和ELBP融合的人脸特征提取方法[J].计算机工程与应用,2017,53(4):170-175,6.基金项目
国家自然科学基金(No.61263019) （No.61263019）
甘肃省高等学校基本科研项目. （）
