Chapter 18

Machine Learning in Handwritten Arabic Text Recognition

Utkarsh Porwal, Zhixin Shi and Srirangaraj Setlur,    University at Buffalo, The State University of New York, USA, utkarshp@buffalo.edu zshi@buffalo.edu setlur@buffalo.edu

Abstract

Automated recognition of handwritten text is one of the most interesting applications of machine learning. This chapter poses handwritten Arabic text recognition as a learning problem and provides an overview of the ML techniques that have been used to address this challenging task. The use of co-training for solving the problem of paucity of labeled training data and structural learning approaches to capture contextual information for feature enhancement have been presented. A system for recognition ...

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