Infrared and Laser Engineering, Volume. 54, Issue 5, 20240606(2025)

A rapid classification study of black marker handwriting based on differential Raman spectroscopy (invited)

Hong JIANG1...23 |Show fewer author(s)
Author Affiliations
  • 1School of Forensic Science, Hunan Police Academy, Changsha 410138, China
  • 2Center of Forensic Science Beijing Hui Zheng Zhuo Yue Technology Co., Ltd., Beijing 102446, China
  • 3Institute of Drug Inspection Technology Inspection and Testing Center of Shanxi Province, Taiyuan 030031, China
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    Figures & Tables(9)
    Reproducibility experiment of 84# samples
    Heat map of the relative content of fillers in black ink handwriting
    (a) Reproducibility results of 40# sample in category Ⅰ; (b) Differential Raman spectrum of 28# sample in category Ⅱ; (c) Differential Raman spectrum of 38# sample in category Ⅲ; (d) Differential Raman spectrum of 21# sample in category IV; (e) Differential Raman spectrum of 61# sample in category V; (f) Differential Raman spectrum of 92# sample in category
    Distribution of spectrally clustered samples
    Confusion matrix of feedforward neural network training results
    ROC curves of feed-forward neural network training results
    • Table 1. Sample table of black ink handwriting

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      Table 1. Sample table of black ink handwriting

      Sample No.Sample nameSample specifications/mm
      1#-17#CHEN Guang0.5
      18#-48#DE Li0.5, 0.38, 0.7
      49#-67#Other China brands0.5, 0.7
      68#-95#MINISO0.5, 0.38
      96#-102#Other foreign brands0.38, 0.4, 0.5
    • Table 2. Classification table for black marker handwriting samples

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      Table 2. Classification table for black marker handwriting samples

      FormSample number
      1、3#、5#-7#、14#-16#、18#、19#、25#、29#、31#-33#、39#-46#、49#、51#、53#-55#、59#、62#、66#-68#、74#-75#、86#、89#、91#、94#-95#、100#
      12#、17#、20#、22#-24#、26#-28#、36#-37#、60#、69#-73#、76#-82#、96#、98#-99#
      8#、38#、50#、83#-85#、87#-88#
      IV4#、10#-11#、21#、30#、56#、57#、90#、97#
      V9#、34#、35#、47#、48#、52#、58#、61#、63#-65#
      VI2#、13#、92#、93#、101#、102#
    • Table 3. Spectral clustering analysis of samples

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      Table 3. Spectral clustering analysis of samples

      ClassifySample numberSample type
      12#-22#,24#,25#,27#-29#,31#,33#-40#,42#-59#,61#-75#,77#-79#,81#,83#,84#,86#-91#,95#,97#,101#Gel ink pen, direct-flow ballpoint pen, ballpoint pen
      21#,23#,26#,30#,41#,60#,76#,82#,85#,92#,93#,96#,98#-100#,102#Carbon pen, overseas brand ballpoint pens
      332#,80#,94#Quick-drying direct-flow ballpoint pen
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    Hong JIANG. A rapid classification study of black marker handwriting based on differential Raman spectroscopy (invited)[J]. Infrared and Laser Engineering, 2025, 54(5): 20240606

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    Paper Information

    Category: Special issue—Hyperspectral technology and applications

    Received: Dec. 25, 2024

    Accepted: --

    Published Online: May. 26, 2025

    The Author Email:

    DOI:10.3788/IRLA20240606

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