The use of hidden Markov models to verify the identity based on facial asymmetry
Abstract This work concerns the use of biometric features, resulting from the look of a face, for the verification purposes. Different methods of selection and feature analysis during face recognition are presented here. The description contains mainly analysis possibilities and also identity verifi...
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Online Access: | http://link.springer.com/article/10.1186/s13640-017-0193-2 |
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doaj-59f71222ae964039a4ed79a36ac32a9a2020-11-25T01:41:49ZengSpringerOpenEURASIP Journal on Image and Video Processing1687-52812017-07-012017111410.1186/s13640-017-0193-2The use of hidden Markov models to verify the identity based on facial asymmetryMariusz Kubanek0Janusz Bobulski1Institute of Computer and Information Sciences, Czestochowa University of TechnologyInstitute of Computer and Information Sciences, Czestochowa University of TechnologyAbstract This work concerns the use of biometric features, resulting from the look of a face, for the verification purposes. Different methods of selection and feature analysis during face recognition are presented here. The description contains mainly analysis possibilities and also identity verification based on asymmetric facial features—in later stages. The new verification method has been introduced based on designated characteristic points. These points were designated through appropriate coded information about facial asymmetry as observation vectors and recognition using hidden Markov models. The advantage of these models is that we can use vectors of different lengths. Such vectors appear in incomplete data when all points cannot be located.http://link.springer.com/article/10.1186/s13640-017-0193-2Facial asymmetryHidden Markov modelsFace recognitionIdentity verification |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mariusz Kubanek Janusz Bobulski |
spellingShingle |
Mariusz Kubanek Janusz Bobulski The use of hidden Markov models to verify the identity based on facial asymmetry EURASIP Journal on Image and Video Processing Facial asymmetry Hidden Markov models Face recognition Identity verification |
author_facet |
Mariusz Kubanek Janusz Bobulski |
author_sort |
Mariusz Kubanek |
title |
The use of hidden Markov models to verify the identity based on facial asymmetry |
title_short |
The use of hidden Markov models to verify the identity based on facial asymmetry |
title_full |
The use of hidden Markov models to verify the identity based on facial asymmetry |
title_fullStr |
The use of hidden Markov models to verify the identity based on facial asymmetry |
title_full_unstemmed |
The use of hidden Markov models to verify the identity based on facial asymmetry |
title_sort |
use of hidden markov models to verify the identity based on facial asymmetry |
publisher |
SpringerOpen |
series |
EURASIP Journal on Image and Video Processing |
issn |
1687-5281 |
publishDate |
2017-07-01 |
description |
Abstract This work concerns the use of biometric features, resulting from the look of a face, for the verification purposes. Different methods of selection and feature analysis during face recognition are presented here. The description contains mainly analysis possibilities and also identity verification based on asymmetric facial features—in later stages. The new verification method has been introduced based on designated characteristic points. These points were designated through appropriate coded information about facial asymmetry as observation vectors and recognition using hidden Markov models. The advantage of these models is that we can use vectors of different lengths. Such vectors appear in incomplete data when all points cannot be located. |
topic |
Facial asymmetry Hidden Markov models Face recognition Identity verification |
url |
http://link.springer.com/article/10.1186/s13640-017-0193-2 |
work_keys_str_mv |
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1725039541249638400 |