Approach for face recognition based on singular value decomposition and hidden Markov model

Xiao Jun Liu; Dong Feng Wang; Li Fei Zhang; Yong Gang Shi; Mou Yan Zou

Approach for face recognition based on singular value decomposition and hidden Markov model

Xiao Jun Liu^*, Dong Feng Wang, Li Fei Zhang, Yong Gang Shi, Mou Yan Zou

^*Corresponding author for this work

CAS - Institute of Electronics

Research output: Contribution to journal › Article › peer-review

23 Citations (Scopus)

Abstract

A new approach based on Hidden Markov Model (HMM) face recognition is presented. Singular value decomposition is used to subtract the character of the face image. As a result, the amount of data storage and the computing time is reduced, and the recognition rate is increased. Experimental results are compared with other two HMM based methods.

Original language	English
Pages (from-to)	340-344
Number of pages	5
Journal	Jisuanji Xuebao/Chinese Journal of Computers
Volume	26
Issue number	3
Publication status	Published - Mar 2003
Externally published	Yes

Keywords

Face recognition
Hidden Markov model
Singular value decomposition

Cite this

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title = "Approach for face recognition based on singular value decomposition and hidden Markov model",

abstract = "A new approach based on Hidden Markov Model (HMM) face recognition is presented. Singular value decomposition is used to subtract the character of the face image. As a result, the amount of data storage and the computing time is reduced, and the recognition rate is increased. Experimental results are compared with other two HMM based methods.",

keywords = "Face recognition, Hidden Markov model, Singular value decomposition",

author = "Liu, {Xiao Jun} and Wang, {Dong Feng} and Zhang, {Li Fei} and Shi, {Yong Gang} and Zou, {Mou Yan}",

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language = "English",

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T1 - Approach for face recognition based on singular value decomposition and hidden Markov model

AU - Liu, Xiao Jun

AU - Wang, Dong Feng

AU - Zhang, Li Fei

AU - Shi, Yong Gang

AU - Zou, Mou Yan

PY - 2003/3

Y1 - 2003/3

N2 - A new approach based on Hidden Markov Model (HMM) face recognition is presented. Singular value decomposition is used to subtract the character of the face image. As a result, the amount of data storage and the computing time is reduced, and the recognition rate is increased. Experimental results are compared with other two HMM based methods.

AB - A new approach based on Hidden Markov Model (HMM) face recognition is presented. Singular value decomposition is used to subtract the character of the face image. As a result, the amount of data storage and the computing time is reduced, and the recognition rate is increased. Experimental results are compared with other two HMM based methods.

KW - Face recognition

KW - Hidden Markov model

KW - Singular value decomposition

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M3 - Article

AN - SCOPUS:0038505086

SN - 0254-4164

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EP - 344

JO - Jisuanji Xuebao/Chinese Journal of Computers

JF - Jisuanji Xuebao/Chinese Journal of Computers

IS - 3

ER -

Approach for face recognition based on singular value decomposition and hidden Markov model

Abstract

Keywords

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