计算机工程Issue(10)：192-195,199,5.DOI:10.3969/j.issn.1000-3428.2013.10.040
基于数据融合的人脸识别方法
Face Recognition Method Based on Data Fusion
摘要
Abstract
Affected by changing illumination, expressions and posture of the face image to the performance of Face Recognition(FR), this paper presents a FR method based on data fusion. The proposed method transforms face image with 2Dimensional-Discrete Wavelet Transform(2D-DWT) into three layers and each image consists of one low frequency sub-image and nine high frequency sub-images. It considers that the low frequency sub-image can directly represent the essence of the face while part of the high frequency sub-images still contain discriminative information, and selects sub-images including abundant of human face information under Fisher projection. It designs three data fusion methods correspond to the pixel level, feature level and decision level. Experimental results on ORL and YALE A face databases show that the proposed method is efficient and its accuracy rate is better than Principal Component Analysis(PCA) method and wavelet transform face recognition method.关键词
人脸识别/数据融合/雓波分解/Fisher投影/子空间分析/特征提取Key words
Face Recognition(FR)/data fusion/wavelet decomposition/Fisher projection/subspace analysis/feature extraction分类
信息技术与安全科学引用本文复制引用
刘冬梅,吕明磊,曾智勇..基于数据融合的人脸识别方法[J].计算机工程,2013,(10):192-195,199,5.基金项目
陠目福建省自然科学基金资助陠目(2011J01338) （2011J01338）
