Laser & Optoelectronics Progress, Volume. 59, Issue 16, 1630001(2022)

Identifying Bloodstain Species Using Hyperspectral Imaging

Yuan Zhuang1, Shuhui Gao1、*, Fei Xie1, Wei Huang2, and Nengbin Cai3
Author Affiliations
  • 1School of Investigation, People’s Public Security University of China, Beijing 100038, China
  • 2Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China
  • 3Shanghai Key Laboratory of Crime Scene Evidence, Shanghai 200083, China
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    Figures & Tables(13)
    Workflow of imaging spectrometer
    Chicken blood and bovine blood used in experiment. (a) Chicken blood; (b) bovine blood
    Spectral curves of human blood, chicken blood, and mixed human and chicken blood on five carriers
    Spectral curves of human blood, bovine blood, and mixed human and bovine blood on five carriers
    Differentiation of three comparative samples on 30 vectors
    Differentiation of three comparative samples on 30 vectors
    • Table 1. Information and serial number of carriers used in experiment

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      Table 1. Information and serial number of carriers used in experiment

      NumberCarrierColorNumberCarrierColor
      1#CanvasDard Red16#LeatherBlack
      2#CanvasWhite17#LeatherBrown
      3#CanvasBright Red18#LeatherGreen
      4#CanvasBlack19#ChamoisDard Red
      5#CanvasBrown20#ChamoisWhite
      6#CanvasGreen21#ChamoisBright Red
      7#CottonDard Red22#ChamoisBlack
      8#CottonWhite23#ChamoisBrown
      9#CottonBright Red24#ChamoisGreen
      10#CottonBlack25#PaperboardPink
      11#CottonBrown26#PaperboardBright Red
      12#CottonGreen27#PaperboardYellow
      13#LeatherDard Red28#PaperboardBlue
      14#LeatherWhite29#InvoiceWhite
      15#LeatherBright Red30#EnvelopeBrown
    • Table 2. Basis of quality assessment

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      Table 2. Basis of quality assessment

      DegreeDifference of rank mean(aResult of assessment
      1a≤15-
      215<a≤30+
      3a>30++
    • Table 3. Rank mean difference of human blood, chicken blood, and mixed blood of human and chicken on five vectors

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      Table 3. Rank mean difference of human blood, chicken blood, and mixed blood of human and chicken on five vectors

      NumberCarrierHuman blood and chicken bloodHuman blood and the mix of human and chicken bloodChicken blood and the mix of human and chicken blood
      1Dark red canvas10.849.161.44
      2Brown cotton40.6037.3637.50
      3Bright red chamois35.3634.1825.04
      4Yellow paperboard27.9021.2418.76
      5Invoice49.0032.5229.44
    • Table 4. Quality assessment results of human blood, chicken blood, and mixed human and chicken blood on five carriers

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      Table 4. Quality assessment results of human blood, chicken blood, and mixed human and chicken blood on five carriers

      NumberCarrierHuman blood and chicken bloodHuman blood and the mix of human and chicken bloodChicken blood and the mix of human and chicken blood
      1Dark red canvas---
      2Brown cotton++++++
      3Bright red chamois+++++
      4Yellow paperboard+++
      5Invoice+++++
    • Table 5. Rank mean difference of human blood, bovine blood, and mixed human and bovine blood on five vectors

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      Table 5. Rank mean difference of human blood, bovine blood, and mixed human and bovine blood on five vectors

      NumberCarrierHuman blood and bovine bloodHuman blood and the mix of human and bovine bloodBovine blood and the mix of human and bovine blood
      1Bright red canvas43.7030.1424.10
      2Black cotton33.4413.0434.30
      3Green leather39.7825.7422.72
      4Bright red chamois43.5035.2826.26
      5Envelope37.6827.6224.84
    • Table 6. Quality evaluation results of human blood, bovine blood, and mixed human and bovine blood on five vectors

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      Table 6. Quality evaluation results of human blood, bovine blood, and mixed human and bovine blood on five vectors

      NumberCarrierHuman blood and bovine bloodHuman blood and the mix of human and bovine bloodBovine blood and the mix of human and bovine blood
      1Bright red canvas+++++
      2Black cotton++-++
      3Green leather++++
      4Bright red chamois+++++
      5Envelope++++
    • Table 7. Statistics of quality assessment results of 6 samples on 30 carriers

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      Table 7. Statistics of quality assessment results of 6 samples on 30 carriers

      NumberHuman blood and chicken bloodHuman blood and the mix of human and chicken bloodChicken blood and the mix of human and chicken bloodHuman blood and bovine bloodHuman blood and the mix of human and bovine bloodBovine blood and the mix of human and bovine blood
      1#---++++-
      2#++-+++++
      3#++++++++
      4#++-++++++
      5#++-++++
      6#+-++++++
      7#++++-+++++
      8#++++++++
      9#++++++--
      10#---++-++
      11#++++++++++
      12#++++++++
      13#++++++++++
      14#+++++-+
      15#+++-+++++
      16#++-++++
      17#+++++++++
      18#++++++++
      19#++-++++++
      20#++++++++
      21#++++++++++
      22#++++++--
      23#++++++-+
      24#+++++++--
      25#+-++++++
      26#++-++++
      27#+++++++++
      28#++++++-
      29#+++++++++++
      30#+++++++
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    Yuan Zhuang, Shuhui Gao, Fei Xie, Wei Huang, Nengbin Cai. Identifying Bloodstain Species Using Hyperspectral Imaging[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1630001

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    Paper Information

    Category: Spectroscopy

    Received: May. 25, 2021

    Accepted: Jun. 27, 2021

    Published Online: Jul. 22, 2022

    The Author Email: Gao Shuhui (gaoshuhui@ppsuc.edu.cn)

    DOI:10.3788/LOP202259.1630001

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