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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 5
1432-1436

Face recognition algorithm based on deep learning

Hu Yazhou
Zhou Yali
Zhang Qizhi
School of Automation, Beijing Information Science & Technology University, Beijing 100192, China
DOI: 10.19734/j.issn.1001-3695.2018.09.0815

Abstract

Considering the complexity of the angle, light and resolution of face images in real environment, this paper improved the network structure of Inception-ResNet-V1, completed the related work of dataset production and hyper-parameter adjustment, and carried out experimental research on the home service robot platform. The experimental results show that the improved network achieves 99.22% accuracy in LFW test set, which is higher than 99.05% of the original network structure. It reaches 99.20% accuracy on the Asian face dataset, which is higher than 97.10% of the original network structure. The false recognition rate on self-built mismatched face dataset is 3.43%, which is lower than 12.28% of the original network structure. It can be seen that compared with the original network structure, the improved network structure improves the accuracy of face recognition and reduces the false recognition rate.

Foundation Support

国家自然科学基金资助项目(11672044,11172047)
北京信息科技大学教改项目(2016JGYB09)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.09.0815
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 5
Section: System Development & Application
Pages: 1432-1436
Serial Number: 1001-3695(2020)05-029-1432-05

Publish History

[2020-05-05] Printed Article

Cite This Article

胡亚洲, 周亚丽, 张奇志. 基于深度学习的人脸识别算法研究 [J]. 计算机应用研究, 2020, 37 (5): 1432-1436. (Hu Yazhou, Zhou Yali, Zhang Qizhi. Face recognition algorithm based on deep learning [J]. Application Research of Computers, 2020, 37 (5): 1432-1436. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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