• Laser & Optoelectronics Progress
  • Vol. 59, Issue 16, 1630001 (2022)
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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    DOI: 10.3788/LOP202259.1630001 Cite this Article Set citation alerts
    Yuan Zhuang, Shuhui Gao, Fei Xie, Wei Huang, Nengbin Cai. Identifying Bloodstain Species Using Hyperspectral Imaging[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1630001 Copy Citation Text show less
    Workflow of imaging spectrometer
    Fig. 1. Workflow of imaging spectrometer
    Chicken blood and bovine blood used in experiment. (a) Chicken blood; (b) bovine blood
    Fig. 2. 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
    Fig. 3. 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
    Fig. 4. Spectral curves of human blood, bovine blood, and mixed human and bovine blood on five carriers
    Differentiation of three comparative samples on 30 vectors
    Fig. 5. Differentiation of three comparative samples on 30 vectors
    Differentiation of three comparative samples on 30 vectors
    Fig. 6. Differentiation of three comparative samples on 30 vectors
    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 1. Information and serial number of carriers used in experiment
    DegreeDifference of rank mean(aResult of assessment
    1a≤15-
    215<a≤30+
    3a>30++
    Table 2. Basis of quality assessment
    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 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 canvas---
    2Brown cotton++++++
    3Bright red chamois+++++
    4Yellow paperboard+++
    5Invoice+++++
    Table 4. Quality assessment results of human blood, chicken blood, and mixed human and chicken blood on five carriers
    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 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 canvas+++++
    2Black cotton++-++
    3Green leather++++
    4Bright red chamois+++++
    5Envelope++++
    Table 6. Quality evaluation results of human blood, bovine blood, and mixed human and bovine blood on five vectors
    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#+++++++
    Table 7. Statistics of quality assessment results of 6 samples on 30 carriers
    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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