Title: Advanced distributed architecture for a complex and large scale Arabic handwriting recognition framework

Authors: Hamdi Hassen; Kay Dörnemann; Maher Khemakhem

Addresses: Computer Science Department, College of Science and Arts at Al Ola, Taibah University, KSA, BP-344, Medina Mounawra, KSA ' Department of Mathematics and Computer Science, University of Marburg Hans-Meerwein-Str. 3, D-35032 Marburg, Germany ' Computer Science Department, Faculty of Computing and Information Technology, University of King Abdul-Aziz, KSA

Abstract: Several Arabic handwritten recognition systems (AHRS) have been widely used since the early nineties, proposing high recognition rates, but limited to small and medium document quantity. Indeed, a variety of approaches, methods, algorithms and techniques have been proposed to build a powerful AHRS able to recognise and digitise such documents. Unfortunately, these methods cannot succeed to achieve this mission for large amounts of documents. Distributed computing architectures such as clusters, grid computing, peer to peer and cloud computing provide enough computing power and/or data storage capacities. This paper describes the design and implementation of a large AHRS solution based on distributed computing architectures. The experiments were conducted on real grid computing environment, a peer-to-peer scheduling architecture and the Amazon Elastic Compute Cloud, with a real large scaled dataset from the IFN/ENIT database. Experimental results confirm indeed that distributed computing environments constitute adequate infrastructures for building fast and powerful AHRS.

Keywords: large scale; Arabic handwriting; recognition system; complex techniques; distributed architecture; peer to peer; P2P; grid computing; cloud computing; performances; complementary approaches.

DOI: 10.1504/IJHPCN.2017.087468

International Journal of High Performance Computing and Networking, 2017 Vol.10 No.6, pp.505 - 514

Received: 17 Feb 2015
Accepted: 12 Nov 2015
Published online: 16 Oct 2017 *

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