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The performance evaluation of the proposed fusion protocol and a novel cascaded authentication approach using a 3D stereovision database shows a significant improvement in performance and robustness, with equal error rates of 42.9% (audio only), 32% (audio + 3D face + 2D lip features), 15% (audio + 3D face + 2D eye features), and 7.3% (audio-3D face + 2D lip + 2D eye-eyebrows) respectively.<\/jats:p>","DOI":"10.1145\/1865106.1865110","type":"journal-article","created":{"date-parts":[[2010,11,23]],"date-time":"2010-11-23T15:00:38Z","timestamp":1290524438000},"page":"1-21","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Multimedia sensor fusion for retrieving identity in biometric access control systems"],"prefix":"10.1145","volume":"6","author":[{"given":"Girija","family":"Chetty","sequence":"first","affiliation":[{"name":"University of Canberra, Australia"}]},{"given":"Matthew","family":"White","sequence":"additional","affiliation":[{"name":"Adsoftech R &amp; D Pty. 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