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Publications:Lip Biometrics for Digit Recognition
Abstract <p>This paper presents a speaker-ind<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>of available visual information.</p>
Author Maycel I. Faraj + , Josef Bigun +
Conference 12th International Conference on Computer Analysis of Images and Patterns, Vienna, AUSTRIA, AUG 27-29, 2007
DOI http://dx.doi.org/10.1007/978-3-540-74272-2_45  +
Diva http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:239344
EndPage 365  +
HostPublication Computer Analysis of Images and Patterns, Proceedings  +
PublicationType Conference Paper  +
Publisher Springer Berlin/Heidelberg  +
Series Lecture Notes in Computer Science ; Volume 4673/2007  +
StartPage 360  +
Title Lip Biometrics for Digit Recognition  +
Year 2007  +
Has queryThis property is a special property in this wiki. Publications:Lip Biometrics for Digit Recognition + , Publications:Lip Biometrics for Digit Recognition + , Publications:Lip Biometrics for Digit Recognition + , Publications:Lip Biometrics for Digit Recognition + , Publications:Lip Biometrics for Digit Recognition + , Publications:Lip Biometrics for Digit Recognition + , Publications:Lip Biometrics for Digit Recognition + , Publications:Lip Biometrics for Digit Recognition + , Publications:Lip Biometrics for Digit Recognition + , Publications:Lip Biometrics for Digit Recognition +
Categories Publication  +
Modification dateThis property is a special property in this wiki. 30 September 2016 20:41:23  +
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