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Analysis of human lip features: a review

Analysis of human lip features: a review Lip features are the most important facial features, which are being extensively used in various computer vision applications. Most of these applications like computer lip reading, lip biometrics, emotion recognition and language identification are real time applications and need robust and accurate design of lip-based recognition/classification systems. Design of such systems requires careful attention to two important issues: lip feature extraction techniques and classification methods. The motive of this review is to summarise and compare the various techniques, which have been adopted in state-of-the-art research papers to solve these issues along with related concerns. In addition, we discuss popular databases used for various lip-based applications along with performance evaluation parameters for comparison of various algorithms. This review will provide an impetus for various lip feature-based applications and new research topics, which will increase productivity in this exciting and challenging field. Keywords: lip features; lip feature extraction; lip biometrics; feature classification; lip databases. Reference to this paper should be made as follows: Rathee, N. and Ganotra, D. (2015) `Analysis of human lip features: a review', Int. J. Applied Systemic Studies, Vol. 6, No. 2, pp.137­184. Biographical notes: Neeru Rathee is a PhD scholar in Guru Gobind Singh Inder Prastha http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Applied Systemic Studies Inderscience Publishers

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Publisher
Inderscience Publishers
Copyright
Copyright © 2015 Inderscience Enterprises Ltd.
ISSN
1751-0589
eISSN
1751-0597
DOI
10.1504/IJASS.2015.072471
Publisher site
See Article on Publisher Site

Abstract

Lip features are the most important facial features, which are being extensively used in various computer vision applications. Most of these applications like computer lip reading, lip biometrics, emotion recognition and language identification are real time applications and need robust and accurate design of lip-based recognition/classification systems. Design of such systems requires careful attention to two important issues: lip feature extraction techniques and classification methods. The motive of this review is to summarise and compare the various techniques, which have been adopted in state-of-the-art research papers to solve these issues along with related concerns. In addition, we discuss popular databases used for various lip-based applications along with performance evaluation parameters for comparison of various algorithms. This review will provide an impetus for various lip feature-based applications and new research topics, which will increase productivity in this exciting and challenging field. Keywords: lip features; lip feature extraction; lip biometrics; feature classification; lip databases. Reference to this paper should be made as follows: Rathee, N. and Ganotra, D. (2015) `Analysis of human lip features: a review', Int. J. Applied Systemic Studies, Vol. 6, No. 2, pp.137­184. Biographical notes: Neeru Rathee is a PhD scholar in Guru Gobind Singh Inder Prastha

Journal

International Journal of Applied Systemic StudiesInderscience Publishers

Published: Jan 1, 2015

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