Quantitative assessment of evidential weight for a fingerprint comparison. Part II: A generalisation to take account of the general pattern
Abstract The authors have proposed a quantitative method for assessing weight of evidence in the case where a fingermark from a crime scene is compared with a set of control prints from the ten fingers of a suspect. The approach is based on the notion of calculating a Likelihood Ratio (LR) that addr...
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Published in | Forensic science international Vol. 214; no. 1; pp. 195 - 199 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Kidlington
Elsevier Ireland Ltd
10.01.2012
Elsevier Elsevier Limited Elsevier Sequoia S.A |
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Abstract | Abstract The authors have proposed a quantitative method for assessing weight of evidence in the case where a fingermark from a crime scene is compared with a set of control prints from the ten fingers of a suspect. The approach is based on the notion of calculating a Likelihood Ratio (LR) that addresses a pair of propositions relating to the individual who left the crime mark. The current method considers only information extracted from minutiae, such as location, direction and type. It does not consider other information usually taken into account by fingerprint examiners, such as the general pattern of the ridge flow on the mark and the control prints. In this paper, we propose an improvement to our model that allows a fingerprint examiner to take advantage of pattern information when assessing the evidential weight to be assigned to a fingerprint comparison. We present an extension of the formal analysis proposed earlier and we illustrate our approach with an example. |
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AbstractList | The authors have proposed a quantitative method for assessing weight of evidence in the case where a fingermark from a crime scene is compared with a set of control prints from the ten fingers of a suspect. The approach is based on the notion of calculating a Likelihood Ratio (LR) that addresses a pair of propositions relating to the individual who left the crime mark. The current method considers only information extracted from minutiae, such as location, direction and type. It does not consider other information usually taken into account by fingerprint examiners, such as the general pattern of the ridge flow on the mark and the control prints. In this paper, we propose an improvement to our model that allows a fingerprint examiner to take advantage of pattern information when assessing the evidential weight to be assigned to a fingerprint comparison. We present an extension of the formal analysis proposed earlier and we illustrate our approach with an example. The authors have proposed a quantitative method for assessing weight of evidence in the case where a fingermark from a crime scene is compared with a set of control prints from the ten fingers of a suspect. The approach is based on the notion of calculating a Likelihood Ratio (LR) that addresses a pair of propositions relating to the individual who left the crime mark. The current method considers only information extracted from minutiae, such as location, direction and type. It does not consider other information usually taken into account by fingerprint examiners, such as the general pattern of the ridge flow on the mark and the control prints. In this paper, we propose an improvement to our model that allows a fingerprint examiner to take advantage of pattern information when assessing the evidential weight to be assigned to a fingerprint comparison. We present an extension of the formal analysis proposed earlier and we illustrate our approach with an example. [PUBLICATION ABSTRACT] Abstract The authors have proposed a quantitative method for assessing weight of evidence in the case where a fingermark from a crime scene is compared with a set of control prints from the ten fingers of a suspect. The approach is based on the notion of calculating a Likelihood Ratio (LR) that addresses a pair of propositions relating to the individual who left the crime mark. The current method considers only information extracted from minutiae, such as location, direction and type. It does not consider other information usually taken into account by fingerprint examiners, such as the general pattern of the ridge flow on the mark and the control prints. In this paper, we propose an improvement to our model that allows a fingerprint examiner to take advantage of pattern information when assessing the evidential weight to be assigned to a fingerprint comparison. We present an extension of the formal analysis proposed earlier and we illustrate our approach with an example. |
Author | Evett, Ian W Neumann, Cedric Mateos-Garcia, Ismael Skerrett, James E |
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Cites_doi | 10.1016/j.forsciint.2011.05.004 10.1016/j.forsciint.2010.09.006 10.1111/j.1467-985X.2011.01027.x |
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Keywords | Fingerprints Likelihood ratio Weight of evidence Fingerprint Forensic science Legal medicine Fingerprint method Evidence-based practice Forensic aspect Comparative study Weight Quantitative analysis |
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References | Neumann, Mateos-Garcia, Langenburg, Kostroski, Skerrett, Koolen (bib0020) 2011 Neumann, Evett, Skerrett (bib0005) 2012; 175 Neumann, Evett, Skerrett, Mateos-Garcia (bib0010) 2011; 207 National Crime Information Center (NCIC) fingerprint pattern classification (last visited 28.5.10). Neumann (10.1016/j.forsciint.2011.08.008_bib0020) 2011 Neumann (10.1016/j.forsciint.2011.08.008_bib0005) 2012; 175 Neumann (10.1016/j.forsciint.2011.08.008_bib0010) 2011; 207 10.1016/j.forsciint.2011.08.008_bib0015 |
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Snippet | Abstract The authors have proposed a quantitative method for assessing weight of evidence in the case where a fingermark from a crime scene is compared with a... The authors have proposed a quantitative method for assessing weight of evidence in the case where a fingermark from a crime scene is compared with a set of... |
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SubjectTerms | Assessments Biological and medical sciences Crime Dermatoglyphics Evidence Fingerprinting Fingerprints Fingers Fingers & toes Forensic medicine Forensic science Forensic sciences Forensic Sciences - methods General aspects Humans Investigative techniques, diagnostic techniques (general aspects) Likelihood Functions Likelihood ratio Medical sciences Pathology Prints Probability Public health. Hygiene Public health. Hygiene-occupational medicine Ridges Software packages Studies Weight of evidence |
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Title | Quantitative assessment of evidential weight for a fingerprint comparison. Part II: A generalisation to take account of the general pattern |
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