Fractal features and their application to image classification

This paper shows novel fractal-based features which are derived directly from the codes resulting from fractal compression of an image. We show some example image classification tasks which can take advantage of these features. Effective face recognition and gender recognition of individually coded face images can be implemented using the operators as inputs to standard, well-known classifiers such as k-Nearest Neighbor and Support Vector Machine Classifiers.