• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 9, 2903 (2022)
Zhen-qing ZHANG1,*, Li-juan DONG2,2; *;, Yu HUANG4,4;, Xing-hai CHEN4,4;..., Wei HUANG5,5; and Yong SUN6,6;|Show fewer author(s)
Author Affiliations
  • 11. Department of Criminal Science and Technology, Railway Police College, Zhengzhou 450053, China
  • 22. Shanxi Provincial Key Laboratory of Microstructure Electromagnetic Functional Materials, Shanxi Datong University, Datong 037009, China
  • 44. Wuxi Spectrum Vision Technology Co., Ltd., Wuxi 214000, China
  • 55. Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China
  • 66. MOE Key Laboratory of Advanced Micro-Structured Materials, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
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    DOI: 10.3964/j.issn.1000-0593(2022)09-2903-10 Cite this Article
    Zhen-qing ZHANG, Li-juan DONG, Yu HUANG, Xing-hai CHEN, Wei HUANG, Yong SUN. Identification of True and Counterfeit Banknotes Based on Hyperspectral Imaging[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2903 Copy Citation Text show less
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    [15] N Hu N, N Wang Y, F Zhao Y et al. Cluster Computing, 1, 1(2018).

    [17] Y Huang, G Shang, X Yao et al. Remote Sensing, 7, 14939(2015).

    [18] I T Jolliffe. Principal Component Analysis. Second Edition, New York: Springer, 1(2002).

    Zhen-qing ZHANG, Li-juan DONG, Yu HUANG, Xing-hai CHEN, Wei HUANG, Yong SUN. Identification of True and Counterfeit Banknotes Based on Hyperspectral Imaging[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2903
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