Fusing Facial Texture Features for Face Recognition-Reference-Cited by-同舟云学术

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Fusing Facial Texture Features for Face Recognition

Published:2016-05-09 Issue:3 Volume:86 Page:395-403
ISSN:0369-8203
Container-title:Proceedings of the National Academy of Sciences, India Section A: Physical Sciences
language:en
Short-container-title:Proc. Natl. Acad. Sci., India, Sect. A Phys. Sci.

Author:

Shao Yanqing,Tang Chaowei,Xiao Min,Tang Hui

Funder

Chongqing municipal education science twelfth five-year plan

The science and technology research project of Chongqing City Board of Education

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy

Link

http://link.springer.com/content/pdf/10.1007/s40010-016-0271-3.pdf

Reference36 articles.

1. Eleyan A, Demirel H (2009) Co-occurrence based statistical approach for face recognition. In: 24th international symposium on computer and information sciences, pp 611–615

2. Yu J, Li C (2013) Face recognition based on Euclidean distance and texture features. In: Proceedings of IEEE, international conference on computational and information sciences, pp 211–213

3. Ojala T, Pietikäinen M, Mäenpää T (2002) Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans PAMI 24:971–987

4. Ahonen T, Hadid A, Pietikainen M (2006) Face description with local binary patterns: application to face recognition. IEEE Trans PAMI 28:2037–2041

5. Ahonen T, Hadid A, Pietikainen M (2004) Face recognition with local binary patterns. Comput Vis ECCV 3021:469–481

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimal multi-kernel SVM classifier with rotation, illumination and scale invariant hybrid DWT-Shearlet based GLCM feature descriptor and its application to face recognition;Intelligent Decision Technologies;2023-04-20

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