Near Infrared Face Recognition: A Comparison of Moment-Based Approaches
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F14%3A00426703" target="_blank" >RIV/67985556:_____/14:00426703 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-981-4585-42-2_15" target="_blank" >http://dx.doi.org/10.1007/978-981-4585-42-2_15</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-4585-42-2_15" target="_blank" >10.1007/978-981-4585-42-2_15</a>
Alternative languages
Result language
angličtina
Original language name
Near Infrared Face Recognition: A Comparison of Moment-Based Approaches
Original language description
Moment based methods have evolved into a powerful tool for face recognition applications. In this paper, a comparative study on moments based feature extraction methods in terms of their capability to recognize facial images with different challenges isdone to evaluate the performance of different type of moments. The moments include Geometric moments (GM?s), Zernike moments (ZM?s), Pseudo-Zernike moments (PZM?s) and Wavelet moments (WM?s). Experiments conducted on CASIA NIR database showed that Zernike moments outperformed other moment-based methods for facial images with different challenges such as facial expressions, head pose and noise.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP103%2F11%2F1552" target="_blank" >GAP103/11/1552: Moments and Moment Invariants in Image Analysis</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications
ISBN
978-981-4585-41-5
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
129-135
Publisher name
Springer
Place of publication
Německo
Event location
Penang
Event date
Dec 8, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000337307100015