Recent Advancements in Gabor Wavelet based Face Recognition
نویسندگان
چکیده
Because existing face recognition systems lack required accuracy when viewpoint, illumination, expression, occlusion, accessories and so on vary considerably, continued research in this field of biometrics is a challenging objective. It is widely accepted that local features in face images are more robust against such distortions and a spatial-frequency analysis is often more desirable to extract such features. Having good characteristics of space-frequency localization, wavelet analysis is the right choice for this purpose. Among various wavelet bases Gabor functions provide optimized resolution in both spatial and frequency domains and it have been found to yield distortion tolerant feature spaces for pattern recognition tasks. This chapter discusses the recent advancements in the field of Gabor wavelet based face recognition.
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