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Commercial Face Recognition Doesn't Work

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2 Author(s)
Jenkins, R. ; Dept. of Psychol., Univ. of Glasgow, Glasgow, UK ; White, D.

Face recognition plays an increasingly important role in our security and surveillance infrastructure, despite substantial evidence that neither human observers nor automatic systems can reliably match unfamiliar faces in real-world settings. In the present article, we contrast real-world performance with performance in benchmark tests. We then consider human limits in unfamiliar face matching, and offer two discussion points: First, that face photographs may not contain enough information to establish a reliable match in practical settings. Second, that we should abandon photographic snapshots as a means of identifying unfamiliar people. We end by outlining some broad alternatives to relying on face photographs.

Published in:

Bio-inspired Learning and Intelligent Systems for Security, 2009. BLISS '09. Symposium on

Date of Conference:

20-21 Aug. 2009