A new hybrid face recognition system

Wan Wong Yee; Phooi Seng Kah; Fui Liau Heng; Li Minn Ang

doi:10.1109/ITSIM.2008.4631663

A new hybrid face recognition system

Wan Wong Yee, Phooi Seng Kah, Fui Liau Heng, Li Minn Ang

University of Nottingham

Research output: Book chapter/Published conference paper › Conference paper › peer-review

Abstract

This paper presents a method of implementing the proposed hybrid intelligent face recognition system to a standard compression system to reduce the computation complexity of DWT. The proposed system is combining DWT and RBF neural network to achieve the advantage of both of the methods. The image dimension is first being reduced and represented in the low frequency domain by DWT and the face features are being classified by RBF neural network. The simulation results on the proposed system indicate that a higher recognition rate is achieved as compared to PCA and PCA+LDA. Besides, the results also show that the computation complexity of the DWT face recognition system can be reduced when the proposed system is implemented in the standard compression system. Experiments are carried out on two aging probe sets of FERET database.

Original language	English
Title of host publication	Proceedings - International Symposium on Information Technology 2008, ITSim
Volume	2
DOIs	https://doi.org/10.1109/ITSIM.2008.4631663
Publication status	Published - 12 Dec 2008
Event	International Symposium on Information Technology 2008, ITSim - Kuala Lumpur, Malaysia Duration: 26 Aug 2008 → 29 Aug 2008

Conference

Conference	International Symposium on Information Technology 2008, ITSim
Country/Territory	Malaysia
City	Kuala Lumpur
Period	26/08/08 → 29/08/08

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10.1109/ITSIM.2008.4631663

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title = "A new hybrid face recognition system",

abstract = "This paper presents a method of implementing the proposed hybrid intelligent face recognition system to a standard compression system to reduce the computation complexity of DWT. The proposed system is combining DWT and RBF neural network to achieve the advantage of both of the methods. The image dimension is first being reduced and represented in the low frequency domain by DWT and the face features are being classified by RBF neural network. The simulation results on the proposed system indicate that a higher recognition rate is achieved as compared to PCA and PCA+LDA. Besides, the results also show that the computation complexity of the DWT face recognition system can be reduced when the proposed system is implemented in the standard compression system. Experiments are carried out on two aging probe sets of FERET database.",

author = "Yee, {Wan Wong} and Kah, {Phooi Seng} and Heng, {Fui Liau} and Ang, {Li Minn}",

year = "2008",

month = dec,

day = "12",

doi = "10.1109/ITSIM.2008.4631663",

language = "English",

isbn = "9781424423286",

volume = "2",

booktitle = "Proceedings - International Symposium on Information Technology 2008, ITSim",

note = "International Symposium on Information Technology 2008, ITSim ; Conference date: 26-08-2008 Through 29-08-2008",

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TY - GEN

T1 - A new hybrid face recognition system

AU - Yee, Wan Wong

AU - Kah, Phooi Seng

AU - Heng, Fui Liau

AU - Ang, Li Minn

PY - 2008/12/12

Y1 - 2008/12/12

N2 - This paper presents a method of implementing the proposed hybrid intelligent face recognition system to a standard compression system to reduce the computation complexity of DWT. The proposed system is combining DWT and RBF neural network to achieve the advantage of both of the methods. The image dimension is first being reduced and represented in the low frequency domain by DWT and the face features are being classified by RBF neural network. The simulation results on the proposed system indicate that a higher recognition rate is achieved as compared to PCA and PCA+LDA. Besides, the results also show that the computation complexity of the DWT face recognition system can be reduced when the proposed system is implemented in the standard compression system. Experiments are carried out on two aging probe sets of FERET database.

AB - This paper presents a method of implementing the proposed hybrid intelligent face recognition system to a standard compression system to reduce the computation complexity of DWT. The proposed system is combining DWT and RBF neural network to achieve the advantage of both of the methods. The image dimension is first being reduced and represented in the low frequency domain by DWT and the face features are being classified by RBF neural network. The simulation results on the proposed system indicate that a higher recognition rate is achieved as compared to PCA and PCA+LDA. Besides, the results also show that the computation complexity of the DWT face recognition system can be reduced when the proposed system is implemented in the standard compression system. Experiments are carried out on two aging probe sets of FERET database.

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U2 - 10.1109/ITSIM.2008.4631663

DO - 10.1109/ITSIM.2008.4631663

M3 - Conference paper

AN - SCOPUS:57349084771

SN - 9781424423286

VL - 2

BT - Proceedings - International Symposium on Information Technology 2008, ITSim

T2 - International Symposium on Information Technology 2008, ITSim

Y2 - 26 August 2008 through 29 August 2008

ER -

A new hybrid face recognition system

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