{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T22:57:07Z","timestamp":1769554627720,"version":"3.49.0"},"reference-count":30,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Appl. Percept."],"published-print":{"date-parts":[[2011,1]]},"abstract":"<jats:p>Psychological research indicates that humans recognize faces of their own race more accurately than faces of other races. This \u201cother-race effect\u201d occurs for algorithms tested in a recent international competition for state-of-the-art face recognition algorithms. We report results for a Western algorithm made by fusing eight algorithms from Western countries and an East Asian algorithm made by fusing five algorithms from East Asian countries. At the low false accept rates required for most security applications, the Western algorithm recognized Caucasian faces more accurately than East Asian faces and the East Asian algorithm recognized East Asian faces more accurately than Caucasian faces. Next, using a test that spanned all false alarm rates, we compared the algorithms with humans of Caucasian and East Asian descent matching face identity in an identical stimulus set. In this case, both algorithms performed better on the Caucasian faces\u2014the \u201cmajority\u201d race in the database. The Caucasian face advantage, however, was far larger for the Western algorithm than for the East Asian algorithm. Humans showed the standard other-race effect for these faces, but showed more stable performance than the algorithms over changes in the race of the test faces. State-of-the-art face recognition algorithms, like humans, struggle with \u201cother-race face\u201d recognition.<\/jats:p>","DOI":"10.1145\/1870076.1870082","type":"journal-article","created":{"date-parts":[[2011,1,25]],"date-time":"2011-01-25T19:12:52Z","timestamp":1295982772000},"page":"1-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":117,"title":["An other-race effect for face recognition algorithms"],"prefix":"10.1145","volume":"8","author":[{"given":"P. Jonathon","family":"Phillips","sequence":"first","affiliation":[{"name":"National Institute of Standards and Technology, Gaithersburg MD"}]},{"given":"Fang","family":"Jiang","sequence":"additional","affiliation":[{"name":"The University of Texas at Dallas, TX"}]},{"given":"Abhijit","family":"Narvekar","sequence":"additional","affiliation":[{"name":"The University of Texas at Dallas, TX"}]},{"given":"Julianne","family":"Ayyad","sequence":"additional","affiliation":[{"name":"The University of Texas at Dallas, TX"}]},{"given":"Alice J.","family":"O'Toole","sequence":"additional","affiliation":[{"name":"The University of Texas at Dallas, TX"}]}],"member":"320","published-online":{"date-parts":[[2011,2,2]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Proceeding of the 8th International Conference on Automatic Face and Gesture Recognition. IEEE","author":"Beveridge J. 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