Cloud computing technology for large scale and efficient Arabic handwriting recognition system

Optical Character Recognition (OCR) system is a process which allows computers to recognize written or printed characters such as numbers or letters and change them into a form that the computer can use. Today there are many OCR systems in use based on different algorithms. All of the popular OCR support high accuracy and most high speed, but till now, Arabic handwriting recognition systems have been limited to small and medium size of documents to recognize. Our idea consists to use a strong, efficient and scalable technology that offers a number of benefits, such as the ability to store and retrieve large amounts of data (documents) in any location at any time (Mobility of the users: pervasive environment). We have used a distributed Arabic handwriting system based on cloud technologies. Obtained results confirm that our approach present a very interesting framework to scale our application in many scaling points such as storage, networking, server processing (CPU cycles, RAM capacity,..), Database transactions per second and to integrate (combine) strong complementary approaches which can lead to the implementation of an efficient and powerful handwriting OCR systems . Keywords—Large scale; efficient; Arabic handwriting OCR; cloud computing; cloud storage