Fractal based textures can be extracted from digitized images by a variety of ways.Many of these features are used in the problem of texture classification and result in good prediction accuracy.In this work I extract fractal based features by three ways including a novel way to encode the process when calculating the fractal dimension.Then I used support vector machines to do supervised learning and classification using these features,.