A novel nonlinear feature extraction and recognition approach based on improved 2D Fisherface plus Kernel discriminant analysis

Yong Fang Yao; Sheng Li; Zhu Li Shao; Xiao Yuan Jing; Dapeng Zhang; Jing Yu Yang

doi:10.1109/IITA.2008.223

A novel nonlinear feature extraction and recognition approach based on improved 2D Fisherface plus Kernel discriminant analysis

Yong Fang Yao, Sheng Li, Zhu Li Shao, Xiao Yuan Jing, Dapeng Zhang, Jing Yu Yang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

A novel nonlinear feature extraction and recognition approach which is based on improved 2D Fisherface plus Kernel discriminant analysis is proposed. We provide an improved 2D Fisherface method that designs a new strategy to select appropriate 2D principal components and discriminant vectors, then we use 2D features to perform the Kernel discriminant analysis. The nearest neighbor classifier with cosine distance measure is adopted in classifying the nonlinear discriminant features. The experiments show that the proposed approach achieves better recognition results than several representative discriminant methods.

Original language	English
Title of host publication	Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Pages	333-337
Number of pages	5
Volume	3
DOIs	https://doi.org/10.1109/IITA.2008.223
Publication status	Published - 1 Dec 2008
Event	2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008 - Shanghai, China Duration: 21 Dec 2008 → 22 Dec 2008

Conference

Conference	2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Country/Territory	China
City	Shanghai
Period	21/12/08 → 22/12/08

ASJC Scopus subject areas

Computer Science Applications
Information Systems and Management

More information

10.1109/IITA.2008.223

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Yao, Y. F., Li, S., Shao, Z. L., Jing, X. Y., Zhang, D., & Yang, J. Y. (2008). A novel nonlinear feature extraction and recognition approach based on improved 2D Fisherface plus Kernel discriminant analysis. In Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008 (Vol. 3, pp. 333-337). Article 4740013 https://doi.org/10.1109/IITA.2008.223

@inproceedings{1ff1eb3383494730965d918084c6642f,

title = "A novel nonlinear feature extraction and recognition approach based on improved 2D Fisherface plus Kernel discriminant analysis",

abstract = "A novel nonlinear feature extraction and recognition approach which is based on improved 2D Fisherface plus Kernel discriminant analysis is proposed. We provide an improved 2D Fisherface method that designs a new strategy to select appropriate 2D principal components and discriminant vectors, then we use 2D features to perform the Kernel discriminant analysis. The nearest neighbor classifier with cosine distance measure is adopted in classifying the nonlinear discriminant features. The experiments show that the proposed approach achieves better recognition results than several representative discriminant methods.",

author = "Yao, {Yong Fang} and Sheng Li and Shao, {Zhu Li} and Jing, {Xiao Yuan} and Dapeng Zhang and Yang, {Jing Yu}",

year = "2008",

month = dec,

day = "1",

doi = "10.1109/IITA.2008.223",

language = "English",

isbn = "9780769534978",

volume = "3",

pages = "333--337",

booktitle = "Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008",

note = "2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008 ; Conference date: 21-12-2008 Through 22-12-2008",

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Yao, YF, Li, S, Shao, ZL, Jing, XY, Zhang, D & Yang, JY 2008, A novel nonlinear feature extraction and recognition approach based on improved 2D Fisherface plus Kernel discriminant analysis. in Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008. vol. 3, 4740013, pp. 333-337, 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008, Shanghai, China, 21/12/08. https://doi.org/10.1109/IITA.2008.223

A novel nonlinear feature extraction and recognition approach based on improved 2D Fisherface plus Kernel discriminant analysis. / Yao, Yong Fang; Li, Sheng; Shao, Zhu Li et al.
Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008. Vol. 3 2008. p. 333-337 4740013.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - A novel nonlinear feature extraction and recognition approach which is based on improved 2D Fisherface plus Kernel discriminant analysis is proposed. We provide an improved 2D Fisherface method that designs a new strategy to select appropriate 2D principal components and discriminant vectors, then we use 2D features to perform the Kernel discriminant analysis. The nearest neighbor classifier with cosine distance measure is adopted in classifying the nonlinear discriminant features. The experiments show that the proposed approach achieves better recognition results than several representative discriminant methods.

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A novel nonlinear feature extraction and recognition approach based on improved 2D Fisherface plus Kernel discriminant analysis

Abstract

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ASJC Scopus subject areas

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