基于FastDTW算法和基于云计算的Map-reduce编程模型相结合的大型分布式阿拉伯手写识别系统

AASRI Procedia Pub Date : 2013-01-01 DOI:10.1016/j.aasri.2013.10.072

Hamdi Hassen , Maher Khemakhem

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引用次数: 1

摘要

基于并行FastDTW算法，利用云计算技术，提出了一种鲁棒、高效、可扩展的分布式阿拉伯手写OCR系统。采用Hadoop、MapReduce和Cascading三种技术实现并行FastDTW算法。实验部署在Amazon EC2 Elastic Map Reduce和Amazon Simple Storage Service (S3)上，使用从IFN/ENIT数据库构建的大型数据集。

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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.

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