计算机工程2012，Vol.38Issue(13)：142-144,3.DOI:10.3969/j.issn.1000-3428.2012.13.042
基于多级Gabor变换序列特征的人脸识别
Face Recognition Based on Multi-scale Gabor Transformation Sequence Feature
摘要
Abstract
Since Gabor feature is robust to illumination and expression variatios and is successfully used in face recognition area. A multi-degree local multi-channel Gabor sequence feature for face description and identification is proposed in view of the existence of local block number problem. The proposed method decomposes trie normalized face image by convolving the face image with multi-scale and multi-channel Gabor filters to extract their corresponding Local Gabor Magnitude Map(LGMM). The input face image is described by multi-scale LGMM, and features are recognized through Radical Basis Function(RBF) network. Results compared with the published results on ORL and YALE face database of changing illumination, expression and aging show the validity of the proposed method.关键词
人脸识别/多通道Gabor/多级Gabor/幅值域图谱/径向基网络Key words
face recognition/ muti-channel Gabon muti-scale Gabor/ magnitude map/ Radical Basis Function(RBF) network分类
信息技术与安全科学引用本文复制引用
高涛..基于多级Gabor变换序列特征的人脸识别[J].计算机工程,2012,38(13):142-144,3.基金项目
中央高校基本科研业务费专项基金资助项目(CHD2011JC067) （CHD2011JC067）
