Large Distributed Arabic Handwriting Recognition System based on the Combination of FastDTW Algorithm and Map-reduce Programming Model via Cloud Computing Technologies

This paper proposes a robust, efficient and scalable distributed Arabic handwriting OCR system based on a parallel FastDTW algorithm via cloud computing technologies. The three techniques Hadoop, MapReduce and Cascading are used to implement the parallel FastDTW algorithm. The experiments were deployed on Amazon EC2 Elastic Map Reduce and Amazon Simple Storage Service (S3) using a large scaled dataset built from the IFN/ENIT database.