Laser & Optoelectronics Progress, Volume. 62, Issue 16, 1600001(2025)

Research Progress of Hyperspectral Imaging Technology in Document Inspection

Yihan Zhou, Lan Cui*, Cheng Zhang, Shuo Li, and Pei Fu
Author Affiliations
  • College of Criminal Science and Technology, Criminal Investigation Police University of China, Shenyang 110035, Liaoning , China
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    Figures & Tables(6)
    Schematic of hyperspectral imaging system structure
    K-Means clustered images for blue ballpoint pens[25]. (a) PCA results; (b) t-SNE results
    Blue-black ink diffusion and spectral analysis results of The James Bay Treaty[41]. (a) Direct observation image; (b) image after band subtraction processing
    Application of HSI technology in the inspection of additions and alterations of documents. (a)‒(c) Graphs of the G2 and BP5 ink adding text and PCA analysis results[44]; (d)‒(f) tamper with digital photo and PCA and false color synthesis processing images[45]; (g)‒(i) MCR-ALS analysis images of the paper, horizontal and vertical drawings of the crossing[46]
    Applications of HSI technique in fuzzy record inspection. (a)(b) Fuzzy lines and gradient synthesized image[48]; (c)(d) invisible text and SVM classification image[49]; (e)(f) masked text and HSI revealed image[50]
    • Table 1. Summary of hyperspectral imaging applications in document inspection

      View table

      Table 1. Summary of hyperspectral imaging applications in document inspection

      Research objectSamplesWavelength range /nmDataStatistical methodReference
      Material inspectionInk4001000Image and spectral23
      Ink650‒4000SpectralPCA, LDA, SPA51
      Ink700‒4000SpectralPCA, KNN24
      Ink400‒850Image and spectralFCM22
      Ink470‒930SpectralPCA52
      Ink400‒720SpectralMNF, PCA30
      Ink400‒720Image and spectralCNN53
      Ink400‒720SpectralLR54
      Material inspectionInk400‒720SpectralCNN, decision tree55
      Ink400‒720SpectralPCA, K-Means56
      Ink400‒720ImageCNN31
      Ink400‒720Image and spectralK-Means29
      Ink400‒1000Spectralt-SNE, PCA, K-Means25
      Ink400‒1000SpectralPCA57
      Ink400‒720ImageGONMF-ADMM58
      Ink450‒950SpectralLDA26
      Inkjet printing ink400‒1000SpectralPCA, SVM59
      Inkjet printing ink400‒1000SpectralUMAP, t-SNE, SVM33
      Inkjet printing ink500‒1000SpectralPCA32
      Laser printing toner400‒1000SpectralRF, KNN, SVM, PLS-DA34
      Stamp450‒950SpectralPCA, NMF, BPNN, 1D-CNN35
      Stamp400‒1000Spectralt-SNE, UMAP, MLP36
      Paper350‒2500SpectralCARS, SPA, SVM, RF, KNN38
      Paper400‒1000SpectralPCA, MNF60
      Paper450‒950Image and spectralPCA, KNN, SVM61
      Paper400‒1000Image and spectralPCA39
      Formation time inspectionInk dispersion420‒720Image and spectralPCA41
      Document aging3651100Image and spectralSDS42
      Document aging365‒1100Spectral62
      Addition and tamper inspectionAddition928‒2524SpectralPCA, PLS-DA, MCR-ALS44
      Tamper400‒1000Image and spectralPCA45
      Tamper720‒1000SpectralPCA63
      Crossing928‒2524Image and spectralPCA, PLS-DA, MCR-ALS46
      Addition and tamper450‒900Image and spectral64
      Fuzzy record inspectionInk separation400‒1000Image and spectralSAM, SID65
      Faded text1000‒2500Image and spectralPCA66
      Fuzzy text400‒720SpectralSVM49
      Faded text365‒1100ImageGradient synthesis48
      Fuzzy text350‒1000Image and spectralMNF67
      Fuzzy text420‒720Image and spectralPCA47
      Masked text400‒1000Image and spectralPCA, ICA68
      Masked text450‒950Image and spectralSAM, LRA50
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    Yihan Zhou, Lan Cui, Cheng Zhang, Shuo Li, Pei Fu. Research Progress of Hyperspectral Imaging Technology in Document Inspection[J]. Laser & Optoelectronics Progress, 2025, 62(16): 1600001

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    Paper Information

    Category: Reviews

    Received: Dec. 31, 2024

    Accepted: Mar. 6, 2025

    Published Online: Aug. 4, 2025

    The Author Email: Lan Cui (cuilan0605@126.com)

    DOI:10.3788/LOP242536

    CSTR:32186.14.LOP242536

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