Arabic text recognition of printed manuscripts. Efficient recognition of off-line printed Arabic text using Hidden Markov Models, Bigram Statistical Language Model, and post-processing.

Arabic text recognition of printed manuscripts. Efficient recognition of off-line printed Arabic text using Hidden Markov Models, Bigram Statistical Language Model, and post-processing.

Arabic text recognition was not researched as thoroughly as other natural languages. The need for automatic Arabic text recognition is clear. In addition to the traditional applications like postal address reading, check verification in banks, and office automation, there is a large interest in sear...

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Bibliographic Details
Main Author: Al-Muhtaseb, Husni A.
Other Authors: Qahwaji, Rami S.R.
Language:en
Published: University of Bradford 2010
Subjects:
Arabic text recognition
Hidden Markov Models
Feature extraction
Omni font recognition
Minimal Arabic script
Bigram Statistical Language Model
Optical character recognition (OCR)
Statistical and analytical analysis
Online Access:http://hdl.handle.net/10454/4426

Internet

http://hdl.handle.net/10454/4426

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