Facial identification using transformed domain by SVM

In this paper, we propose a facial biometric identification system, using transformed domains such as discrete cosine transforms (DCT), fast Fourier transforms (FFT) and discrete wavelets transforms (DWT). As novel classifier system has been utilized a support vector machines (SVM) (Burges, 1998), a...

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Hauptverfasser:	Travieso, C.M., Alonso, J.B., Ferrer, M.A.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Biometrics Detection, estimation, filtering, equalization, prediction Discrete cosine transforms Discrete Fourier transforms Discrete wavelet transforms Exact sciences and technology Fast Fourier transforms Image databases Information, signal and communications theory Miscellaneous Pattern recognition Robustness Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise Support vector machine classification Support vector machines Telecommunications and information theory Wavelet domain
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Beschreibung
Zusammenfassung:	In this paper, we propose a facial biometric identification system, using transformed domains such as discrete cosine transforms (DCT), fast Fourier transforms (FFT) and discrete wavelets transforms (DWT). As novel classifier system has been utilized a support vector machines (SVM) (Burges, 1998), and in addition, the way of computing transformed coefficients. With the above system, it has been obtained a simple and robust system with good results, upper to 98% with the ORL face database (400 images) from Olivetti Research Laboratory.
DOI:	10.1109/CCST.2004.1405412