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Robust multimodal 2D and 3D face authentication using local feature fusion

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Robust multimodal 2D and 3D face authentication using local feature fusion

Content Provider	Springer Nature Link
Author	Ouamane, A. Belahcene, M. Benakcha, A. Bourennane, S. Taleb Ahmed, A.
Copyright Year	2014
Abstract	In this work, we present a robust face authentication approach merging multiple descriptors and exploiting both 3D and 2D information. First, we correct the heads rotation in 3D by iterative closest point algorithm, followed by an efficient preprocessing phase. Then, we extract different features namely: multi-scale local binary patterns (MSLBP), novel statistical local features (SLF), Gabor wavelets, and scale invariant feature transform (SIFT). The principal component analysis followed by enhanced fisher linear discriminant model is used for dimensionality reduction and classification. Finally, fusion at the score level is carried out using two-class support vector machines. Extensive experiments are conducted on the CASIA 3D faces database. The evaluation of individual descriptors clearly showed the superiority of the proposed SLF features. In addition, applying the ( $$\hbox {3D} + \hbox {2D}$$ ) multimodal score level fusion, the best result is obtained by combining the SLF with the $$\hbox {MSLBP}+\hbox {SIFT}$$ descriptor yielding in an equal error rate of 0.98 % and a recognition rate of $$\hbox {RR} = 97.22\,\%$$ .
Starting Page	129
Ending Page	137
Page Count	9
File Format	PDF
ISSN	18631703
Journal	Signal, Image and Video Processing
Volume Number	10
Issue Number	1
e-ISSN	18631711
Language	English
Publisher	Springer London
Publisher Date	2014-11-16
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Iterative closest point Multi-scale local binary patterns (MSLBP) Statistical local features (SLF) Scale invariant feature transform (SIFT) Fusion Signal, Image and Speech Processing Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Multimedia Information Systems
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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