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Research on Face Recognition Algorithms and Application Based on PCA Dimension Reduction and LBP

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成果类型:
期刊论文、会议论文
作者:
Kangman Li;Ruihua Nie
通讯作者:
Li, K.
作者机构:
[Nie R.; Li K.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, Hunan 421002, China
通讯机构:
[Li, K.] C
College of Computer Science and Technology, China
语种:
英文
关键词:
Face recognition;Local binary patterns;PCA
期刊:
Advances in Intelligent Systems and Computing
ISSN:
2194-5357
年:
2021
卷:
1143
页码:
461-470
会议名称:
9th International Conference on Computer Engineering and Networks, CENet2019
会议论文集名称:
Proceedings of the 9th International Conference on Computer Engineering and Networks
会议时间:
18 October 2019 through 20 October 2019
主编:
Liu Q.Liu X.Li L.Zhao H.-H.Zhou H.
出版者:
Springer
ISBN:
9789811537523
基金类别:
This work was supported by Application-oriented Special Disciplines Double First-Class University Project of Hunan Province (Xiangjiaotong [2018] 469), Hunan University Students’ Research Learning and Innovative Experiment Project (Hunan Education Tong [2018] 255:750) and National Innovation and Entrepreneurship Training Program for College Students (201810546007).
机构署名:
本校为第一机构
院系归属:
计算机科学与技术学院
摘要:
In the face recognition system on campus, the influence of time and age change on face features can be neglected. This paper proposes a dimension reduction algorithm based on principal component analysis (PCA) algorithm and local binary patterns (LBP), and it is applied to campus face recognition APP. It is proved that the algorithm can significantly improve the speed and ensure its recognition accuracy in the application of small changes in the face and has certain reference value for practi...

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