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Article Information:
The Optical Character Recognition for Cursive Script Using HMM: A Review
Saeeda Naz, Arif I. Umar, Syed H. Shirazi, Muhammad M. Ajmal and Salahuddin
Corresponding Author: Saeeda Naz
Submitted: December 09, 2013
Accepted: June 08, 2014
Published: November 20, 2014 |
Abstract:
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Automatic Character Recognition has wide variety of applications such as automatic postal mail sorting, number plate recognition and automatic form of reader and entering text from PDA's etc. Cursive script’s Automatic Character Recognition is a complex process facing unique issues unlike other scripts. Many solutions have been proposed in the literature to solve complexities of cursive scripts character recognition. This paper present a comprehensive literature review of the Optical Character Recognition (OCR) for off-line and on-line character recognition for Urdu, Arabic and Persian languages, based on Hidden Markov Model (HMM). We surveyed all most all significant approaches proposed and concluded future directions of OCR for cursive languages.
Key words: Character, hidden Markov model, ligature, optical character recognition, , ,
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Cite this Reference:
Saeeda Naz, Arif I. Umar, Syed H. Shirazi, Muhammad M. Ajmal and Salahuddin, . The Optical Character Recognition for Cursive Script Using HMM: A Review. Research Journal of Applied Sciences, Engineering and Technology, (19): 2016-2025.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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