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

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

This paper proposes a new method of face representation which is used for face recognition by SVM. 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...

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Bibliographische Detailangaben
Hauptverfasser: Safari, M., Harandi, M.T., Araabi, B.N.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Applied sciences
Artificial intelligence
Authentication
Computer science
control theory
systems
Exact sciences and technology
Face recognition
Feature extraction
Humans
Image recognition
Independent component analysis
Linear discriminant analysis
Pattern recognition. Digital image processing. Computational geometry
Principal component analysis
Support vector machine classification
Support vector machines
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Beschreibung
Zusammenfassung:This paper proposes a new method of face representation which is used for face recognition by SVM. 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.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2004.1419433