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Improved Arabic Characters Recognition by Combining Multiple Machine Learning Classifiers

Citation Author(s):
Maytham Alabbas, Raidah S. Khudeyer
Submitted by:
Sardar JAf
Last updated:
25 November 2016 - 3:49am
Document Type:
Poster
Document Year:
2016
Event:
Presenters Name:
Sardar Jaf
Paper Code:
82

Abstract 

Abstract: 

In this paper, we investigate a range of
strategies for combining multiple machine learning
techniques for recognizing Arabic characters, where we
are faced with imperfect and dimensionally variable input
characters. Experimental results show that combined
confidence-based backoff strategies can produce more
accurate results than each technique produces by itself
and even the ones exhibited by the majority voting
combination.

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