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Global interlaboratory study: Assessing consistency and accuracy for determining source of face, hands, and clothing images across forensic practitioners and laypersons.

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Τίτλος: Global interlaboratory study: Assessing consistency and accuracy for determining source of face, hands, and clothing images across forensic practitioners and laypersons.
Συγγραφείς: Meiklejohn KA; Department of Population Health and Pathobiology, North Carolina State University, College of Veterinary Medicine, Raleigh, North Carolina, USA., Wong CW; Department of Electrical and Computer Engineering, North Carolina State University, College of Engineering, Raleigh, North Carolina, USA., Scheible MKR; Department of Population Health and Pathobiology, North Carolina State University, College of Veterinary Medicine, Raleigh, North Carolina, USA., Qu Y; Clinical Studies Core, Office of Research, North Carolina State University, College of Veterinary Medicine, Raleigh, North Carolina, USA., Harris J; Center for Forensic Science, Northern Michigan University, Marquette, Michigan, USA., Sims L; Face Center of Excellence (FaCE), Ideal Innovations, Inc., Arlington, Virginia, USA.
Πηγή: Journal of forensic sciences [J Forensic Sci] 2026 Sep; Vol. 71 (5), pp. 2088-2098. Date of Electronic Publication: 2026 Jun 15.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Blackwell Pub Country of Publication: United States NLM ID: 0375370 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1556-4029 (Electronic) Linking ISSN: 00221198 NLM ISO Abbreviation: J Forensic Sci Subsets: MEDLINE
Imprint Name(s): Publication: 2006- : Malden, MA : Blackwell Pub.
Original Publication: [Chicago, Ill.] : Callaghan and Co., 1956-
Ιατρικοί όροι (MeSH): Face*/anatomy & histology , Clothing* , Forensic Sciences* , Hand* , Photography*, Humans ; Machine Learning ; Forensic Imaging ; Observer Variation ; Reproducibility of Results
Περίληψη: Images containing faces, body parts, vehicles, weapons, clothing, luggage, furniture, landscapes, and buildings are routinely sent to forensic laboratories for comparison. Trained forensic practitioners offer an opinion regarding a common source or a different source. Results from comparisons are typically reported using opinion categories, and the number used can vary (typically 3-7 categories). To harmonize opinion categories used across digital multimedia disciplines, the Organization of Scientific Area Committees (OSAC) for Forensic Science developed OSAC Proposed Standard 2022-S-0001 (Standard Guide for Image Comparison Opinions), which details five opinion categories for determining image source. To ensure this standard meets the OSAC program goal of developing technically sound standards, an interlaboratory study focused on 2022-S-0001 was conducted. Combining machine learning and input from subject matter experts, 20 pairs of face, hands, and clothing images were selected for use that represented varying sources and difficulty. Qualtrics was used to disseminate a survey and collect responses from forensic practitioners (n = 38) and laypersons (n = 44). For all three image subject categories, statistically higher agreement (selection of the same opinion source category for the same pair of images) was observed between practitioners over laypersons. Practitioners were statistically more accurate at determining the true source over laypersons for face (p = 0.005) and hand (p = 0.043) image pairs. This study highlighted that when individuals are provided with a clear and detailed framework of source opinion categories, moderate agreement and high accuracy (especially for practitioners) can be achieved for face, hand, and clothing image comparisons.
(© 2026 The Author(s). Journal of Forensic Sciences published by Wiley Periodicals LLC on behalf of American Academy of Forensic Sciences.)
References: Biochem Med (Zagreb). 2012;22(3):276-82. (PMID: 23092060)
J Forensic Sci. 2014 Nov;59(6):1559-67. (PMID: 25069532)
Proc Biol Sci. 2015 Sep 7;282(1814):. (PMID: 26336174)
Psychol Res Behav Manag. 2019 Jul 09;12:513-521. (PMID: 31372071)
Proc Natl Acad Sci U S A. 2018 Jun 12;115(24):6171-6176. (PMID: 29844174)
J Forensic Sci. 2022 Jan;67(1):200-206. (PMID: 34799848)
J Forensic Sci. 2026 Sep;71(5):2088-2098. (PMID: 42298825)
Appl Cogn Psychol. 2022;36(6):. (PMID: 38680453)
Proc Natl Acad Sci U S A. 2020 Mar 10;117(10):5176-5183. (PMID: 32094165)
Psychol Bull. 1968 Oct;70(4):213-20. (PMID: 19673146)
J Forensic Sci. 2015 Nov;60(6):1605-12. (PMID: 26249240)
Grant Information: 70NANB23H275 United States NIST NIST DOC
Contributed Indexing: Keywords: OSAC proposed standard; clothing comparison; digital multimedia; facial comparison; hand comparison; image comparisons; opinion categories
Entry Date(s): Date Created: 20260616 Date Completed: 20260902 Latest Revision: 20260904
Update Code: 20260904
PubMed Central ID: PMC13534925
DOI: 10.1111/1556-4029.70368
PMID: 42298825
Βάση Δεδομένων: MEDLINE
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  Data: Global interlaboratory study: Assessing consistency and accuracy for determining source of face, hands, and clothing images across forensic practitioners and laypersons.
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  Data: <searchLink fieldCode="AU" term="%22Meiklejohn+KA%22">Meiklejohn KA</searchLink>; Department of Population Health and Pathobiology, North Carolina State University, College of Veterinary Medicine, Raleigh, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Wong+CW%22">Wong CW</searchLink>; Department of Electrical and Computer Engineering, North Carolina State University, College of Engineering, Raleigh, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Scheible+MKR%22">Scheible MKR</searchLink>; Department of Population Health and Pathobiology, North Carolina State University, College of Veterinary Medicine, Raleigh, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Qu+Y%22">Qu Y</searchLink>; Clinical Studies Core, Office of Research, North Carolina State University, College of Veterinary Medicine, Raleigh, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Harris+J%22">Harris J</searchLink>; Center for Forensic Science, Northern Michigan University, Marquette, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Sims+L%22">Sims L</searchLink>; Face Center of Excellence (FaCE), Ideal Innovations, Inc., Arlington, Virginia, USA.
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  Data: Images containing faces, body parts, vehicles, weapons, clothing, luggage, furniture, landscapes, and buildings are routinely sent to forensic laboratories for comparison. Trained forensic practitioners offer an opinion regarding a common source or a different source. Results from comparisons are typically reported using opinion categories, and the number used can vary (typically 3-7 categories). To harmonize opinion categories used across digital multimedia disciplines, the Organization of Scientific Area Committees (OSAC) for Forensic Science developed OSAC Proposed Standard 2022-S-0001 (Standard Guide for Image Comparison Opinions), which details five opinion categories for determining image source. To ensure this standard meets the OSAC program goal of developing technically sound standards, an interlaboratory study focused on 2022-S-0001 was conducted. Combining machine learning and input from subject matter experts, 20 pairs of face, hands, and clothing images were selected for use that represented varying sources and difficulty. Qualtrics was used to disseminate a survey and collect responses from forensic practitioners (n = 38) and laypersons (n = 44). For all three image subject categories, statistically higher agreement (selection of the same opinion source category for the same pair of images) was observed between practitioners over laypersons. Practitioners were statistically more accurate at determining the true source over laypersons for face (p = 0.005) and hand (p = 0.043) image pairs. This study highlighted that when individuals are provided with a clear and detailed framework of source opinion categories, moderate agreement and high accuracy (especially for practitioners) can be achieved for face, hand, and clothing image comparisons.<br /> (© 2026 The Author(s). Journal of Forensic Sciences published by Wiley Periodicals LLC on behalf of American Academy of Forensic Sciences.)
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  Data: Biochem Med (Zagreb). 2012;22(3):276-82. (PMID: <searchLink fieldCode="PM" term="%2223092060%22">23092060)</searchLink><br />J Forensic Sci. 2014 Nov;59(6):1559-67. (PMID: <searchLink fieldCode="PM" term="%2225069532%22">25069532)</searchLink><br />Proc Biol Sci. 2015 Sep 7;282(1814):. (PMID: <searchLink fieldCode="PM" term="%2226336174%22">26336174)</searchLink><br />Psychol Res Behav Manag. 2019 Jul 09;12:513-521. (PMID: <searchLink fieldCode="PM" term="%2231372071%22">31372071)</searchLink><br />Proc Natl Acad Sci U S A. 2018 Jun 12;115(24):6171-6176. (PMID: <searchLink fieldCode="PM" term="%2229844174%22">29844174)</searchLink><br />J Forensic Sci. 2022 Jan;67(1):200-206. (PMID: <searchLink fieldCode="PM" term="%2234799848%22">34799848)</searchLink><br />J Forensic Sci. 2026 Sep;71(5):2088-2098. (PMID: <searchLink fieldCode="PM" term="%2242298825%22">42298825)</searchLink><br />Appl Cogn Psychol. 2022;36(6):. (PMID: <searchLink fieldCode="PM" term="%2238680453%22">38680453)</searchLink><br />Proc Natl Acad Sci U S A. 2020 Mar 10;117(10):5176-5183. (PMID: <searchLink fieldCode="PM" term="%2232094165%22">32094165)</searchLink><br />Psychol Bull. 1968 Oct;70(4):213-20. (PMID: <searchLink fieldCode="PM" term="%2219673146%22">19673146)</searchLink><br />J Forensic Sci. 2015 Nov;60(6):1605-12. (PMID: <searchLink fieldCode="PM" term="%2226249240%22">26249240)</searchLink>
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