A SVM-based method for face recognition using a wavelet-PCA representation of faces

Majid Safari; Mehrtash T. Harandi; Babak N. Araabi

A SVM-based method for face recognition using a wavelet-PCA representation of faces

Majid Safari
, Mehrtash T. Harandi
, Babak N. Araabi

Electrical and Computer Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

22 Citations (Scopus)

Abstract

This paper proposes a new method of face representation which is used for face recognition by STM For face representation we have used a two-step method, first two-dimensional Discrete Wavelet Transform (DWT) is used to transform the faces to a more discriminated space and then Principal Component Analysis (PCA) is applied. The proposed method produced a significant improvement which includes a substantial reduction in error rate and in time of processing during the obtaining PCA orthonormal basis.

Original language	English
Title of host publication	Proceedings - International Conference on Image Processing, ICIP
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	853-856
Number of pages	4
Volume	5
Publication status	Published - 1 Dec 2004
Event	IEEE International Conference on Image Processing 2004 - Singapore, Singapore Duration: 24 Oct 2004 → 27 Oct 2004 Conference number: 11th https://ieeexplore.ieee.org/xpl/conhome/9716/proceeding?isnumber=30672 (Proceedings)

Publication series

Name	International Conference on Image Processing, Proceedings
Publisher	IEEE, Institute of Electrical and Electronics Engineers
ISSN (Print)	1522-4880

Conference

Conference	IEEE International Conference on Image Processing 2004
Abbreviated title	ICIP 2004
Country/Territory	Singapore
City	Singapore
Period	24/10/04 → 27/10/04
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9716/proceeding?isnumber=30672 (Proceedings)

Cite this

@inproceedings{2003f171a05840038a81c526c5899fb6,

title = "A SVM-based method for face recognition using a wavelet-PCA representation of faces",

abstract = "This paper proposes a new method of face representation which is used for face recognition by STM For face representation we have used a two-step method, first two-dimensional Discrete Wavelet Transform (DWT) is used to transform the faces to a more discriminated space and then Principal Component Analysis (PCA) is applied. The proposed method produced a significant improvement which includes a substantial reduction in error rate and in time of processing during the obtaining PCA orthonormal basis.",

author = "Majid Safari and Harandi, \{Mehrtash T.\} and Araabi, \{Babak N.\}",

year = "2004",

month = dec,

day = "1",

language = "English",

volume = "5",

series = "International Conference on Image Processing, Proceedings",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

pages = "853--856",

booktitle = "Proceedings - International Conference on Image Processing, ICIP",

address = "United States of America",

note = "IEEE International Conference on Image Processing 2004, ICIP 2004 ; Conference date: 24-10-2004 Through 27-10-2004",

url = "https://ieeexplore.ieee.org/xpl/conhome/9716/proceeding?isnumber=30672",

}

Safari, M, Harandi, MT & Araabi, BN 2004, A SVM-based method for face recognition using a wavelet-PCA representation of faces. in Proceedings - International Conference on Image Processing, ICIP. vol. 5, International Conference on Image Processing, Proceedings, IEEE, Institute of Electrical and Electronics Engineers, pp. 853-856, IEEE International Conference on Image Processing 2004, Singapore, Singapore, 24/10/04.

A SVM-based method for face recognition using a wavelet-PCA representation of faces. / Safari, Majid; Harandi, Mehrtash T.; Araabi, Babak N.
Proceedings - International Conference on Image Processing, ICIP. Vol. 5 IEEE, Institute of Electrical and Electronics Engineers, 2004. p. 853-856 (International Conference on Image Processing, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - A SVM-based method for face recognition using a wavelet-PCA representation of faces

AU - Safari, Majid

AU - Harandi, Mehrtash T.

AU - Araabi, Babak N.

N1 - Conference code: 11th

PY - 2004/12/1

Y1 - 2004/12/1

N2 - This paper proposes a new method of face representation which is used for face recognition by STM For face representation we have used a two-step method, first two-dimensional Discrete Wavelet Transform (DWT) is used to transform the faces to a more discriminated space and then Principal Component Analysis (PCA) is applied. The proposed method produced a significant improvement which includes a substantial reduction in error rate and in time of processing during the obtaining PCA orthonormal basis.

AB - This paper proposes a new method of face representation which is used for face recognition by STM For face representation we have used a two-step method, first two-dimensional Discrete Wavelet Transform (DWT) is used to transform the faces to a more discriminated space and then Principal Component Analysis (PCA) is applied. The proposed method produced a significant improvement which includes a substantial reduction in error rate and in time of processing during the obtaining PCA orthonormal basis.

UR - https://www.scopus.com/pages/publications/20444477551

M3 - Conference Paper

AN - SCOPUS:20444477551

VL - 5

T3 - International Conference on Image Processing, Proceedings

SP - 853

EP - 856

BT - Proceedings - International Conference on Image Processing, ICIP

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - IEEE International Conference on Image Processing 2004

Y2 - 24 October 2004 through 27 October 2004

ER -

A SVM-based method for face recognition using a wavelet-PCA representation of faces

Abstract

Publication series

Conference

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