Laser & Optoelectronics Progress, Volume. 59, Issue 2, 0215001(2022)

Cross-Age Face Recognition Based on Deep Learning

Wenbin Sun1, Rong Wang2,3、*, Lianzhu Sun4, and Yuansong Lin1
Author Affiliations
  • 1School of Information Engineering, Guangdong University of Technology, Guangzhou , Guangdong 510006, China
  • 2College of Information Engineering, Northwest A&F University, Xianyang , Shaanxi 712100, China
  • 3National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
  • 4School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
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    References(36)

    [5] Khiyari H, Wechsler H. Age invariant face recognition using convolutional neural networks and set distances[J]. Journal of Information Security, 8, 174-185(2017).

    [6] Mortezaie Z, Hassanpour H. A survey on age invariant face recognition methods[J]. Jordanian Journal of Computers and Information Technology, 5, 87-96(2019).

    [32] Guo Q Y. Research on cross-age face recognition based on age-invariant identity feature[D], 37-38(2020).

    [35] Parkhi O M, Vedaldi A, Zisserman A. Deep face recognition[C], 41.1-41.12(2015).

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    Wenbin Sun, Rong Wang, Lianzhu Sun, Yuansong Lin. Cross-Age Face Recognition Based on Deep Learning[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0215001

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    Paper Information

    Category: Machine Vision

    Received: Dec. 31, 2020

    Accepted: Mar. 9, 2021

    Published Online: Dec. 24, 2021

    The Author Email: Rong Wang (rongw@nwafu.edu.cn)

    DOI:10.3788/LOP202259.0215001

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