Automatic Recognition Systems and Human Computer Interaction in Face Matching

Eilidh Noyes, M.Q. Hill

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The human face facilitates identification in security and policing scenarios. In these settings, automatic face recognition systems have increased in prevalence and accuracy in recent years. As a result, the identification task, which once fell entirely to humans, is now a process performed by man and machine. Automatic face recognition systems provide image similarity comparisons and can create candidate lists to narrow down potential targets. There is increasing interest in the accuracy of these systems, and the role that algorithms can play in the identification effort. The design, operational usage, and effectiveness of these automatic systems, as well as the interaction of human and computer recognition are the topics of this chapter.
Original languageEnglish
Title of host publicationForensic Face Matching
Subtitle of host publicationResearch and Practice
EditorsMarkus Bindemann
PublisherOxford University Press
Chapter9
Pages193-215
Number of pages23
ISBN (Print)0198837747, 9780198837749
DOIs
Publication statusPublished - 7 Jan 2021

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