Integer Wavelet-based PCA for Face Recognition

Face recognition has received significant attention from re-searchers in biometrics, pattern recognition and computer vision Communities. Fixed point implementation has limitless advantages than Floating point implementation, i.e. suitable for hardware design, low computational complexity, high speed, less memory required to store, low power consumption & easy in encoding. Hence fixed point implementation (Integer Wavelet Transform) is best candidate than floating point implementation (Classical Wavelet Transform). There are many different integer wavelet filters which can be used in the transformation stage and the choice of the filter would have some influence on the accuracy rate of the Face Recognition.