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Karaömeroğlu, Betül

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https://hdl.handle.net/20.500.12416/9164
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Arş. Gör.
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Bilgisayar Mühendisliği
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    Master Thesis
    Comparative study of human face identification methods
    (2005) Karaömeroğlu, Betül
    Face recognition algorithms have gained popularity in the recent years. Nowa days there are a lot of face recognition systems. However, it is known that these systems work properly in ideal environments. Behind of that, these applications provide low performance in some situations such as illumination, occlusion, different facial expression or presence of rotation and tilt conditions. In this thesis, a new approach to face recognition problem has been proposed. The presented system is a specialized version of PCA augmented with Gabor Wavelet Transform. Firstly, 2D Gabor Wavelet Transform is applied to cope with the variations due to illumination and facial expression changes; then the modified PCA approach is used for reducing a large set of correlated variables iii to a small number of uncorrelated components. The performance of the proposed algorithm is compared with the other algo rithms based on the effect of the illumination, facial expression and occluding objects such as eye glasses and facial hair