New Fractal Features for Character Recognition and Image Classification

In this paper we derive and test some novel fractal based features that are calculated from the fractal compressed representation of an image. We show that these features summarise useful information in the fractal code that can be applied to various types of image classification, including face/non-face classification and character recognition. A preliminary study of two supplementary features that augment the Mapping Vector Accumulator is also presented. Experimental results using these features are provided to indicate their potential for image recognition tasks.