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NCJ Number: 249324 Find in a Library
Title: Quantifying the Weight of Fingerprint Evidence Through the Spatial Relationship, Directions and Types of Minutiae Observed on Fingermarks
Journal: Forensic Science International  Volume:248  Dated:March 2015  Pages:154-171
Author(s): Cedric Neumann; Christophe Champod; Mina Yoo; Thibault Genessay; Glenn Langenburg
Date Published: March 2015
Page Count: 18
Sponsoring Agency: National Institute of Justice (NIJ)
Washington, DC 20531
Grant Number: 2010-DN-BX-K267
Document: HTML
Type: Report (Grant Sponsored); Research (Applied/Empirical); Statistics
Format: Article; Document (Online)
Language: English
Country: United States of America
Annotation: This article presents a statistical model for the quantification of the weight of fingerprint evidence.
Abstract: Overall, the data generated during this research project supports fingerprint evidence as a valuable forensic tool for the identification of individuals. The model’s performance shows that the spatial relationship between minutiae carries more evidential weight than their type or direction. Testing results also indicate that the AFIS component of the model directly enables the assignment of weight to fingerprint evidence without the need for the additional layer of complex statistical modeling required by the estimation of the probability distributions of fingerprint features. In fact, it seems that the AFIS component is more sensitive to the sub-population effects than the other components of the model. Contrary to previous models (generative and score-based models), the proposed model estimates the probability distributions of spatial relationships, directions, and types of minutiae observed on fingerprints for any given fingermark. The model relies on an AFIS algorithm provided by 3M Cogent and a dataset of more than 4,000,000 fingerprints to represent a sample from a relevant population of potential sources. The model’s performance was tested using several hundreds of minutiae configurations observed on a set of 565 fingermarks. In particular, the effects of various sub-populations of fingers (i.e., finger number, finger general pattern) on the expected evidential value of the test configurations were investigated. (Publisher abstract modified)
Main Term(s): Criminology
Index Term(s): Fingerprint Analysis; Fingerprints; Mathematical modeling; NIJ grant-related documents; NIJ Resources; Probabilistic evidence; Statistical analysis; Suspect identification; Victim identification
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