电讯技术2016，Vol.56Issue(10)：1119-1123,5.DOI:10.3969/j.issn.1001-893x.2016.10.010
采用局部二值模式与深度信念网络的人脸识别
Facial Recognition Using Local Binary Pattern and Deep Belief Network
摘要
Abstract
In view of the large dimensions of facial features and the neglect of the local features extraction, this paper proposes a facial recognition method based on multi-scale local binary pattern( LBP) and deep belief network( DBN) algorithm. Firstly,the texture features are extracted by using multi-scale LBP,then these features are inputed to DBN,and finally the optimal parameters of the network are obtained by layered network training. A test on the ORL faces database is performed and recognition rate reaches 95. 2%, 2. 6% higher than that of face recognition using Gabor wavelet and pincipal component analysis(PCA) al-gorithms,which illustrates that the proposed algorithm has a good face recognition ability.关键词
人脸识别/特征提取/局部二值模式/深度信念网络/受限波尔兹曼机Key words
facial recognition/feature extraction/local binary pattern/deep belief network/restricted Boltz-mann machines分类
信息技术与安全科学引用本文复制引用
吴进,严辉,王洁..采用局部二值模式与深度信念网络的人脸识别[J].电讯技术,2016,56(10):1119-1123,5.基金项目
国家自然科学基金资助项目(61272120) （61272120）
陕西省科技统筹项目(2016KTZDGY02-04-02)Foundation Item:The National Natural Science Foundation of China ( No.61272120) （2016KTZDGY02-04-02）
The Science and Technology Overall Plan of Shaanxi Province(2016KTZDGY02-04-02)Corresponding author:huatao2000@126. com （2016KTZDGY02-04-02）
