Composite vector selection for feature extraction in face recognition-Reference-Cited by-同舟云学术

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Composite vector selection for feature extraction in face recognition

Published:2013-01 Issue:2 Volume:49 Page:104-106
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electron. lett.

Author:

Choi Sang‐Il¹,Choi Younggeun¹,Kim Hyunjin²

Affiliation:

1. Department of Applied Computer EngineeringDankook University126, Jukjeon‐dong, Suji‐guYongin‐siGyeonggi‐doRepublic of Korea

2. Department of Electronics and Electrical EngineeringDankook University126, Jukjeon‐dong, Suji‐guYongin‐siGyeonggi‐doRepublic of Korea

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2012.3416

Reference12 articles.

1. Gabor‐based weighted region covariance matrix for face recognition;Qin H.F.;Electon. Lett.,2012

2. Genetic optimisation of illumination compensation methods in cascade for face recognition;Perez C.A.;Electon. Lett.,2010

3. Eigenfaces vs. Fisherfaces: recognition using class specific linear projection

4. Face Recognition Based on Nonlinear DCT Discriminant Feature Extraction Using Improved Kernel DCV

5. Eigenfeature regularization and extraction in face recognition;Jiang X.;IEEE Trans. Pattern Anal. Mach. Intell,2008

Cited by 3 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. A broad review about face recognition – feature extraction and recognition techniques;The Imaging Science Journal;2015-09

2. Illumination normalisation method using Kolmogorov‐Nagumo‐based statistics for face recognition;Electronics Letters;2014-06

3. Expression and lighting invariant face recognition using fast tree‐based matching;Electronics Letters;2013-10

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