Arabic characters recognition in natural scenes using sparse coding for feature representations

Character classification is the most important step in automatizing the process of reading text in natural scenes. The detection and the recognition of characters, needed in the end-to-end system, depend mainly on the robustness of the character classifier. Furthermore, Arabic characters classification need specific framework to deal with problems of their complexity and their diversity.