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Face recognition based on discriminant fractional Fourier feature extraction
- Source :
-
Pattern Recognition Letters . Oct2006, Vol. 27 Issue 13, p1465-1471. 7p. - Publication Year :
- 2006
-
Abstract
- Abstract: Developed from the conventional Fourier transform, the fractional Fourier transform is a powerful signal analysis and processing technique. In this paper, we apply it to the field of face recognition. By combining it with the discrimination analysis technique, we propose a new face recognition approach. First, we use a two-dimensional separability judgment to select appropriate value of angle parameter for discrete fractional Fourier transform. Second, we present a reformative Fisherface method to extract discriminative features from the preprocessed images and perform the classification using the nearest neighbor classifier. Experimental results on two public face databases indicate that our approach outperforms four representative discrimination methods. It obtains better and robust classification effects. [Copyright &y& Elsevier]
- Subjects :
- *FOURIER analysis
*MATHEMATICAL analysis
*FACE perception
*PROSOPAGNOSIA
Subjects
Details
- Language :
- English
- ISSN :
- 01678655
- Volume :
- 27
- Issue :
- 13
- Database :
- Academic Search Index
- Journal :
- Pattern Recognition Letters
- Publication Type :
- Academic Journal
- Accession number :
- 21574237
- Full Text :
- https://doi.org/10.1016/j.patrec.2006.02.020