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Comparative analysis and application of LBP face image recognition algorithms
Author(s) -
Wu Ling,
Liu Sheng
Publication year - 2019
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.3977
Subject(s) - computer science , facial recognition system , three dimensional face recognition , face (sociological concept) , artificial intelligence , biometrics , face recognition grand challenge , identity (music) , access control , computer vision , image (mathematics) , face detection , local binary patterns , set (abstract data type) , pattern recognition (psychology) , computer security , histogram , social science , physics , sociology , acoustics , programming language
Summary As a branch of biometrics, face recognition focuses on face features and approaches to distinguishing different individuals through recognizing their faces by virtue of the uniqueness of each face. Face recognition technology using image set, and single image is the main application technology at present. Although the face recognition technology using a single image is relatively mature, it also has some shortcomings. In this paper, Honda/USCD video database is used to compare and analyze the two technologies, and the recognition accuracy of face recognition method based on local binary pattern (LBP) is tested. The results show that the face recognition technology using image sets has better recognition accuracy and can be better applied intelligent shopping, access control system, vehicle access system, intelligent security, identity recognition.