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Published in: Cluster Computing 4/2019

28-02-2018

The application of near-infrared reflectance hyperspectral imaging for the detection and extraction of bloodstains

Authors: Yuefeng Zhao, Nannan Hu, Yunuan Wang, Yonglei Liu, Xiaofei Li, Jingjing Wang

Published in: Cluster Computing | Special Issue 4/2019

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Abstract

Blood is not only the traces of the murder scene but also the evidence, has a very important role in the acquisition of criminal evidence and forensic identification. However, the conventional testing methodology being currently deployed in bloodstain identification may destruct the human DNA. Some investigators used the method is undeserved, often regret in the exploration of the scene. From this point of view, efficient non-destructive technology for quickly identifying bloodstain is an emerging issue in this field. In this article, a method is proposed for nondestructive testing of identifying blood stains, and design a blood model named blood band inequality model to extract blood from eight kinds of suspected blood. The validity of the model was verified by the theory and experiment. Extraction efficiency of blood is as high as 94.71%, and the omission rate is only 5.29%. Experiments proved hyperspectral imaging can be used for the non-contact detection, identification of blood stains and the new model is effective in the extraction of blood.

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Metadata
Title
The application of near-infrared reflectance hyperspectral imaging for the detection and extraction of bloodstains
Authors
Yuefeng Zhao
Nannan Hu
Yunuan Wang
Yonglei Liu
Xiaofei Li
Jingjing Wang
Publication date
28-02-2018
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 4/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-1869-9

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