]> 2026-04-04T23:44:59+02:00 Publications:Lip Biometrics for Digit Recognition 500 en <p>This paper presents a speaker-independent audio-visual digit recognition system that utilizes speech and visual lip signals. The extracted visual features are based on line-motion estimation obtained from video sequences with low resolution (128 ×128 pixels) to increase the robustness of audio recognition. The core experiments investigate lip motion biometrics as stand-alone as well as merged modality in speech recognition system. It uses Support Vector Machines, showing favourable experimental results with digit recognition featuring 83% to 100% on the XM2VTS database depending on the amount of available visual information.</p> 12th International Conference on Computer Analysis of Images and Patterns, Vienna, AUSTRIA, AUG 27-29, 2007 http://dx.doi.org/10.1007/978-3-540-74272-2_45 http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:239344 365 Computer Analysis of Images and Patterns, Proceedings Conference Paper Lecture Notes in Computer Science ; Volume 4673/2007 360 Lip Biometrics for Digit Recognition 2007 2016-09-30T20:41:23Z 2457662.3620718 Lip Biometrics for Digit Recognition 500 0 plainlist list 1 [[:Publications:Lip Biometrics for Digit Recognition]] Lip Biometrics for Digit Recognition# QUERYa58d9e2ae31cf030c4085f70c6ff80f6 500 [2,"smw-datavalue-property-restricted-annotation-use","Publisher"] Lip Biometrics for Digit Recognition# ERR6c155b5d70b69ddb590b4f2e73389c2a 500 [2,"smw-datavalue-property-restricted-annotation-use","Author"] Lip Biometrics for Digit Recognition# ERRe24f17e090c98448f3de99d03182b7b6