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Lip Motion Features for Biometric Person Recognition
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0002-4929-1262
2009 (English)In: Visual Speech Recognition: Lip Segmentation and Mapping / [ed] Alan Wee-Chung Liew & Shilin Wang, Hershey, PA: Medical Information Science Reference , 2009, 495-532 p.Chapter in book (Other academic)
Abstract [en]

The present chapter reports on the use of lip motion as a stand alone biometric modality as well as a modality integrated with audio speech for identity recognition using digit recognition as a support. First, the auhtors estimate motion vectors from images of lip movements. The motion is modeled as the distribution of apparent line velocities in the movement of brightness patterns in an image. Then, they construct compact lip-motion features from the regional statistics of the local velocities. These can be used as alone or merged with audio features to recognize identity or the uttered digit. The author’s present person recognition results using the XM2VTS database representing the video and audio data of 295 people. Furthermore, we present results on digit recognition when it is used in a text prompted mode to verify the liveness of the user. Such user challenges have the intention to reduce replay attack risks of the audio system.

Place, publisher, year, edition, pages
Hershey, PA: Medical Information Science Reference , 2009. 495-532 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-14939DOI: 10.4018/978-1-60566-186-5.ch017ISBN: 9781605661865 ISBN: 1605661864, EISBN 9781605661872 OAI: oai:DiVA.org:hh-14939DiVA: diva2:408383
Available from: 2011-04-04 Created: 2011-04-04 Last updated: 2017-09-27Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf