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1st International ICST Workshop on Computational Forensics

Research Article

Information-theoretical comparison of likelihood ratio methods of forensic evidence evaluation

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1109/IAS.2007.63,
        author={Daniel Ramos and Joaquin Gonzalez-Rodriguez and Grzegorz Zadora and Janina Zieba-Palus and Colin  Aitken},
        title={Information-theoretical comparison of likelihood ratio methods of forensic evidence evaluation},
        proceedings={1st International ICST Workshop on Computational Forensics},
        publisher={IEEE},
        proceedings_a={IWCF},
        year={2007},
        month={9},
        keywords={Biometrics  Forensics  Glass  HDTV  Information security  Law  Layout  Mathematics  Paints  Statistics},
        doi={10.1109/IAS.2007.63}
    }
    
  • Daniel Ramos
    Joaquin Gonzalez-Rodriguez
    Grzegorz Zadora
    Janina Zieba-Palus
    Colin Aitken
    Year: 2007
    Information-theoretical comparison of likelihood ratio methods of forensic evidence evaluation
    IWCF
    IEEE
    DOI: 10.1109/IAS.2007.63
Daniel Ramos1,*, Joaquin Gonzalez-Rodriguez1, Grzegorz Zadora2,*, Janina Zieba-Palus2, Colin Aitken3,*
  • 1: ATVS - Biometric Recognition Group, Universidad Autonoma de Madrid, Spain
  • 2: Institute of Forensic Research, Westerplatte 9, 31-033 Krakow, Poland
  • 3: School of Mathematics and Joseph Bell Centre for Forensic Statistics and Legal Reasoning University of Edinburgh, King’s Buildings, Edinburgh, EH9 3JZ, UK
*Contact email: daniel.ramos@uam.es, gzadora@ies.krakow.pl, c.g.g.aitken@ed.ac.uk

Abstract

Forensic evidence in the form of two-level hierarchical multivariate continuous data is modelled using a likelihood ratio approach. Data are available from fragments of glass and of paint. Cross-entropy is used to compare the results with a neutral method and a method using the correct answers.

Keywords
Biometrics Forensics Glass HDTV Information security Law Layout Mathematics Paints Statistics
Published
2007-09-10
Publisher
IEEE
Modified
2011-08-02
http://dx.doi.org/10.1109/IAS.2007.63
Copyright © 2007–2025 IEEE
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