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Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I

Research Article

Infrared Image Face Recognition Method Based on Signal Interference Technology

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-28787-9_25,
        author={Zongren Chen and Wenda Xie},
        title={Infrared Image Face Recognition Method Based on Signal Interference Technology},
        proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I},
        proceedings_a={ADHIP},
        year={2023},
        month={3},
        keywords={Signal interference technology Infrared image Face recognition Anti interference Visible light source},
        doi={10.1007/978-3-031-28787-9_25}
    }
    
  • Zongren Chen
    Wenda Xie
    Year: 2023
    Infrared Image Face Recognition Method Based on Signal Interference Technology
    ADHIP
    Springer
    DOI: 10.1007/978-3-031-28787-9_25
Zongren Chen1,*, Wenda Xie1
  • 1: Computer Engineering Technical College (Artificial Intelligence College), Guangdong Polytechnic of Science and Technology
*Contact email: chenzongren210@sina.com

Abstract

Infrared imaging has the advantages of strong anti-interference, independent of visible light source, anti camouflage and anti fraud. Therefore, an infrared image face recognition method based on signal interference technology is proposed. Based on the in-depth analysis of the characteristics of infrared face image, the characteristics of infrared image face recognition are studied, and a new infrared image statistical face recognition method is proposed. The experimental results show that the recognition method studied in this paper is feasible both theoretically and experimentally, and has good recognition ability. The infrared image face recognition method can solve the difficult problem of face recognition under the change of lighting conditions and face camouflage.

Keywords
Signal interference technology Infrared image Face recognition Anti interference Visible light source
Published
2023-03-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-28787-9_25
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