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Performance of forensic facial comparison by morphological analysis across optimal and suboptimal CCTV settings

Bacci, Nicholas, Steyn, Maryna, Briers, Nanette·2021·Science & Justice

Abstract

Facial comparison is an important yet understudied discipline in forensics. The recommended method for facial comparison in a forensic setting involves morphological analysis (MA) with the use of a facial feature list. The performance of this approach has not been tested across various closed-circuit television (CCTV) conditions. This is of particular concern as video and image data available to law enforcement is often varied and of subpar conditions. The present study aimed at testing MA across two types of CCTV data, representing ideal and less than ideal settings, also assessing which particular shortcomings arose from less-than-ideal settings. The study was conducted on a subset of the Wits Face Database arranged in a total of 225 face pools. Each face pool consisted of a target image obtained from either a high-definition digital CCTV camera or a low-definition analogue CCTV camera in monochrome, contrasted to 10 possible matches. The face pools were analysed and scored using MA and confusion matrices were used to analyse the outcomes. A notably high chance corrected accuracy (CCA) (97.3%) and reliability (0.969) was identified across the digital CCTV sample, while in the analogue CCTV sample MA appeared to underperform both in accuracy (CCA: 33.1%) and reliability (0.529). The majority of the errors in scoring resulted in false negatives in the analogue sample (75.2%), while across both CCTV conditions false positives were low (digital: 0.3%; analogue: 1.2%). Even thou…

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  • Standardized mounting heights translate to a steep angle of incidence, which reduces image quality and obscures relevant facial detail due to increased subject-to-camera distance and loss of useable resolution.

    “The problem with these standardized mounting heights is that they translate to a steep angle of incidence. This in turn reduces image quality and obscures relevant facial detail as a result of the increased SCD and subsequent loss of useable resolution [48,49].”
  • Eye-level digital CCTV recording-based facial comparisons were almost as accurate (97.3%) and reliable (77.3%) as standardized photograph to unstandardized photograph comparisons.

    “In fact, eye-level digital CCTV recording-based facial comparisons were almost as accurate (97.3%) and reliable (77.3%) as the standardized photograph to unstandardized photograph comparisons [21,48] (Figure 2).”
  • Faces disguised by brimmed caps yielded an exceedingly low CCA (68.1%), yet not as low as the analogue CCTV comparisons (33.1%).

    “In contrast, faces disguised by brimmed caps yielded an exceedingly low CCA (68.1%) [49], yet not nearly as low as the analogue CCTV comparisons (33.1%) [48] (Figure 2).”
  • Analogue CCTV data captured at an angle of incidence of 22° and height of 2.5 m performed worse overall, although it is unclear if this was because of camera position or poor image quality.

    “In contrast, our analogue CCTV data, captured at an angle of incidence of 22° and height of 2.5 m, performed worse overall, although it is unclear if this was because of camera position or poor image quality [48].”
  • In 130 face sets (n = 1300 comparisons) recorded on a low-resolution suboptimal analogue CCTV system, MA had accuracies as low as 33.1%, false negative rates of 75.2%, and reliability of 37.8%.

    “The results were found to be much poorer, with accuracies as low as 33.1% with extremely high false negative rates (75.2%) and questionable reliability (37.8%) [48] (Figure 2).”

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Metadata

Authors
Bacci, N., Steyn, M., & Briers, N.
Venue
Science & Justice
Publisher
Elsevier BV
Published
2021-11
Volume
61
Issue
6
Pages
743-754
ISSN
1355-0306
Cited by
6
References
1
Language
en
Funders
National Research Foundation

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