Toward automatic blood spatter analysis in crime scenes

Author(s):  
A.R. Shen ◽  
G.J. Brostow ◽  
R. Cipolla
Keyword(s):  
Author(s):  
Jaya B. Lakshmi ◽  
M L. Avinash Tejasvi ◽  
Anulekha Avinash ◽  
Chanchala H. P. ◽  
Priyanka Talwade ◽  
...  

AbstractDNA is present in most of the cells in our body, which is unique in each and every individual, and we leave a trail of it everywhere we go. This has become an advantage for forensic investigators who use DNA to draw conclusion in identification of victim and accused in crime scenes. This review describes the use of genetic markers in forensic investigation and their limitations.


2020 ◽  
Vol 306 ◽  
pp. 110049 ◽  
Author(s):  
Y. Harush-Brosh ◽  
I. Hefetz ◽  
M. Hauzer ◽  
L. Mayuoni-Kirshenbaum ◽  
Y. Mashiach ◽  
...  
Keyword(s):  

2018 ◽  
Vol 15 (5) ◽  
pp. 632-651 ◽  
Author(s):  
Sabine De Moor ◽  
Christophe Vandeviver ◽  
Tom Vander Beken

When studying offending behaviour, researchers primarily rely on police-recorded crime data, even though such data contain only detected crimes and known offenders. Using DNA data, which also contain information on unknown offenders, enables researchers to link offenders by identifying their presence at shared crime scenes. In this paper we combine police-recorded crime data with DNA data to study serial co-offending behaviour. We focus on the changes the networks of crimes obtained from police-recorded crime data undergo when integrated with data from unknown offenders in the DNA database. We demonstrate that an integrated dataset reveals more and larger networks of crimes with a larger spatiotemporal spread compared with the police-recorded crime data only.


2014 ◽  
Vol 88 (1) ◽  
pp. 8-8
Keyword(s):  

Author(s):  
B.E. Turvey
Keyword(s):  

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