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Combining Machine Learning Classifiers for the Task of Arabic Characters Recognition

Alabbas, Maytham; Jaf, Sardar; Khudeyer, S. Raidah


Maytham Alabbas

Sardar Jaf

S. Raidah Khudeyer


There is a number of machine learning algorithms for recognizing Arabic characters. In this paper, we investigate a range of strategies for multiple machine learning algorithms for the task of Arabic characters recognition, where we are faced with imperfect and dimensionally variable input characters. We show two different strategies to combining multiple machine learning algorithms: manual backoff strategry and ensemble learning strategy. We show the performance of using individual algorithms and combined algorithms on recognizing Arabic characters. Experimental results show that combined confidence-based strategies can produce more accurate results than each algorithm produces by itself and even the ones exhibited by the majority voting combination.

Journal Article Type Article
Acceptance Date May 27, 2018
Online Publication Date Jun 30, 2018
Publication Date Jun 30, 2018
Deposit Date Jun 12, 2018
Print ISSN 0219-5968
Publisher Chinese & Oriental Languages Information Processing Society
Peer Reviewed Peer Reviewed
Volume 28
Issue 1
Pages 1-12
Public URL
Publisher URL

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