Distributing Arabic Handwriting Recognition System Based on the Combination of Grid Meta-Scheduling and P2P Technologies (Omnivore)

Character recognition is one of the oldest fields of research. It is the art of automating both the process of reading and keyboard input of text in documents. A major part of information in documents is in the form of alphanumeric text. Significant movement has been made in handwriting recognition technology over the last few years. Up until now, Arabic handwriting recognition systems have been limited to small and medium size of documents to recognize. The facility of dealing with large database (large scale), however, opens up many more applications. Our idea consists to use a strong and complimentary approach which needs enough computing power. We have used a distributed Arabic handwriting system based on the combination of Grid meta-scheduling and Peer–to-Peer (P2P) technologies such as Omnivore. Obtained results confirm that our approach present a very interesting framework to speed up the Arabic optical character recognition process and to integrate (combine) strong complementary approaches which can lead to the implementation of powerful handwriting OCR systems .