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

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

Research output: Contribution to journalConference articleResearchpeer-review

22 Citations (Scopus)


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 languageEnglish
Pages (from-to)853-856
Number of pages4
JournalInternational Conference on Image Processing, Proceedings
Publication statusPublished - 1 Dec 2004
EventIEEE International Conference on Image Processing 2004 - Singapore, Singapore
Duration: 24 Oct 200427 Oct 2004
Conference number: 11th
https://ieeexplore.ieee.org/xpl/conhome/9716/proceeding?isnumber=30672 (Proceedings)

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