Face Recognition Based on Nonlinear DCT Discriminant Feature Extraction Using Improved Kernel DCV-Reference-Cited by-同舟云学术

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

Published:2009 Issue:12 Volume:E92-D Page:2527-2530
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

LI Sheng¹,YAO Yong-fang¹,JING Xiao-yuan¹,CHANG Heng¹,GAO Shi-qiang¹,ZHANG David²,YANG Jing-yu³

Affiliation:

1. Nanjing University of Posts and Telecommunications

2. Dept. of Computing, Hong Kong Polytechnic University

3. Nanjing University of Science and Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

http://www.jstage.jst.go.jp/article/transinf/E92.D/12/E92.D_12_2527/_pdf

Reference11 articles.

1. [1] Z.M. Hafed and M.D. Levine, “Face recognition using the discrete cosine transform,” Int. J. Comput. Vis., vol.43, no.3, pp.167-188, 2001.

2. [2] D. Zhang, X.Y. Jing, and J. Yang, “Biometric image discrimination(BID) technologies,” IGP/INFOSCI/IRM Press, 2006.

3. Statistical pattern recognition: a review

4. [4] H. Yu and J. Yang, “A direct LDA algorithm for high-dimensional data with application to face recognition,” Pattern Recognit., vol.34, no.12, pp.2067-2070, 2001.

5. Discriminative common vectors for face recognition

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