Literature DB >> 23313600

Assessing the clarity of friction ridge impressions.

R Austin Hicklin1, JoAnn Buscaglia, Maria Antonia Roberts.   

Abstract

The ability of friction ridge examiners to correctly discern and make use of the ridges and associated features in finger or palm impressions is limited by clarity. The clarity of an impression relates to the examiner's confidence that the presence, absence, and attributes of features can be correctly discerned. Despite the importance of clarity in the examination process, there have not previously been standard methods for assessing clarity in friction ridge impressions. We introduce a process for annotation, analysis, and interchange of friction ridge clarity information that can be applied to latent or exemplar impressions. This paper: (1) describes a method for evaluating the clarity of friction ridge impressions by using color-coded annotations that can be used by examiners or automated systems; (2) discusses algorithms for overall clarity metrics based on manual or automated clarity annotation; and (3) defines a method of quantifying the correspondence of clarity when comparing a pair of friction ridge images, based on clarity annotation and resulting metrics. Different uses of this approach include examiner interchange of data, quality assurance, metrics, and as an aid in automated fingerprint matching. Published by Elsevier Ireland Ltd.

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Year:  2013        PMID: 23313600     DOI: 10.1016/j.forsciint.2012.12.015

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  7 in total

Review 1.  Fingerprint identification: advances since the 2009 National Research Council report.

Authors:  Christophe Champod
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-08-05       Impact factor: 6.237

2.  Probabilistic reporting and algorithms in forensic science: Stakeholder perspectives within the American criminal justice system.

Authors:  H Swofford; C Champod
Journal:  Forensic Sci Int Synerg       Date:  2022-02-12

3.  Characterizing missed identifications and errors in latent fingerprint comparisons using eye-tracking data.

Authors:  Thomas A Busey; Nicholas Heise; R Austin Hicklin; Bradford T Ulery; JoAnn Buscaglia
Journal:  PLoS One       Date:  2021-05-24       Impact factor: 3.240

Review 4.  Implementation of algorithms in pattern & impression evidence: A responsible and practical roadmap.

Authors:  H Swofford; C Champod
Journal:  Forensic Sci Int       Date:  2021-02-18       Impact factor: 2.395

5.  Measuring what latent fingerprint examiners consider sufficient information for individualization determinations.

Authors:  Bradford T Ulery; R Austin Hicklin; Maria Antonia Roberts; JoAnn Buscaglia
Journal:  PLoS One       Date:  2014-11-05       Impact factor: 3.240

6.  Data on the interexaminer variation of minutia markup on latent fingerprints.

Authors:  Bradford T Ulery; R Austin Hicklin; Maria Antonia Roberts; JoAnn Buscaglia
Journal:  Data Brief       Date:  2016-05-04

7.  Accuracy and reliability of feature selection by Chinese fingerprint examiners.

Authors:  Shiquan Liu; Zhongliang Mi; Glenn M Langenburg; Jian Wu
Journal:  Forensic Sci Res       Date:  2017-09-20
  7 in total

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