Improving Unfamiliar Face Matching by Masking the External Facial Features

Richard I. Kemp, Alita Caon, Mark Howard, Kevin R. Brooks

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Counter-terrorism and crime prevention often depend on our ability to match images of unfamiliar faces. For example, when issuing passports, staff must establish an applicant's identity by comparing the submitted photograph witht those in the database of current passports to ensure that multiple documents are not issued to the same person under different names. Previous research has shown that this is a difficult and error prone task. We suggest that this ‘passport problem’ may be due to an over-reliance on the appearance of external facial features that can be unreliable cues to identity. Compatible with this explanation, we demonstrate that in difficult trials involving a change of appearance or attempted fraud involving a similar looking foil, participants are better able to determine whether two images are of the same person when shown only the internal features of the faces rather than whole images. This discovery has significant practical implications and could form the basis of a procedure to improve the detection of identity fraud.

LanguageEnglish
Pages622-627
Number of pages6
JournalApplied Cognitive Psychology
Volume30
Issue number4
DOIs
Publication statusPublished - 1 Jul 2016

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Aptitude
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Cues
Databases
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Masking
Person

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Kemp, Richard I. ; Caon, Alita ; Howard, Mark ; Brooks, Kevin R. / Improving Unfamiliar Face Matching by Masking the External Facial Features. In: Applied Cognitive Psychology. 2016 ; Vol. 30, No. 4. pp. 622-627.
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Improving Unfamiliar Face Matching by Masking the External Facial Features. / Kemp, Richard I.; Caon, Alita; Howard, Mark; Brooks, Kevin R.

In: Applied Cognitive Psychology, Vol. 30, No. 4, 01.07.2016, p. 622-627.

Research output: Contribution to journalArticleResearchpeer-review

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