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Wavelet Transform in Face Recognition Janusz Bobulski Czestochowa University of Technology Institute of Computer and Information Science Dabrowskiego Str. 73 42-200 Czestochowa, Poland e-mail: januszb@icis.pcz.pl Abstract: One of the parts person's identification systems is features extraction. This process is very important because effectiveness of system depend of it. Successful Wavelet Transform can be used in systems of persons' identification and pattern recog- nition. Keywords: Face recognition, face identification, features extract, biometrics. 1 Introduction A problem of person's identification is one of the main questions of many research centres at present. Interest of this discipline is a result of potential possibilities of practical application of new possibilities in person's identification in the systems de- manding authorizations of person's access entitled to use potential resources. One of the parts person's identification systems is features extraction. This process is very important because effectiveness of system depend of it. There are many differ- ence way features extraction eigenface, Fourier Transform etc. This paper proposes in order to do this use Wavelet Transform (WT). The features extraction has to get out information from a signal (image), which will be base for person identification. The separation of useful information from nose is very important, because this data will be used for identification and should clearly describe the face.
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24 Biometrics, Computer Security Systems and Artificial Intelligence Applications 2 Wavelet Transform of Images 2.1 One-level Wavelet Transform One major advantage afforded by wavelets is the ability to perform local analysis ~ that is, to analyse a localized area of a larger signal. In wavelet analysis, we often speak about approximations and details. The approximations are the high-scale, low- frequency components of the signal. The details are the low-scale, high-frequency components [1]. Using 2D WT (Fig. 1.), the face image is decomposed into four subimages via the
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This note was uploaded on 05/28/2010 for the course EE EE564 taught by Professor Runyiyu during the Spring '10 term at Eastern Mediterranean University.

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fulltext - Wavelet Transform in Face Recognition Janusz...

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