Research on Local Directional Face Recognition Algorithm Based on Deep Learning
GONG Weijun
WU Jianjun
LI Xiaoxia
LI Xiaoxu
Abstract：The paper proposes a local directional face recognition algorithm based on deep learning for feature selection in face recognition and the limitation of single algorithm. Firstly,the local sensitive area of the face is selected by positioning and seg?mentation. Then the LDP algorithm's good local feature extraction capability is used to perform feature extraction on the featured block region and finally connect it into a new feature face. Then a layer-by-layer greedy training is performed by using the deep learning network DBN to obtain good network parameters,and finally the trained network is used to test samples for face classifica?tion. Experiments are performed on ORL and MIT-CBCL face databases in sequence. The experimental results show that the pro?posed algorithm has a higher recognition rate than the traditional single or fusion algorithm and has good local performance and an?ti-interference performance.
Keywords：local directional patternlocal sensitivedeep learningfeature selectionface recognition
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1032-1036,1135 )