Recognition of off-line printed Arabic text using Hidden Markov Models.

Recognition of off-line printed Arabic text using Hidden Markov Models.

yes === This paper describes a technique for automatic recognition of off-line printed Arabic text using Hidden Markov Models. In this work different sizes of overlapping and non-overlapping hierarchical windows are used to generate 16 features from each vertical sliding strip. Eight different Arabi...

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Bibliographic Details
Main Authors: Al-Muhtaseb, Husni A., Mahmoud, Sabri A., Qahwaji, Rami S.R.
Language:en
Published: Elsevier 2009
Subjects:
Signal Processing
OCR
Feature extraction
Arabic text recognition
Hidden Markov Models (HMM)
Omni font recognition
Online Access:http://hdl.handle.net/10454/4105

Internet

http://hdl.handle.net/10454/4105

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