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  • GC-CCA 2009
  • 10.Cnf-758
Papers Published at GC-CCA 2009
All 9 Papers
IDAuthors and TitlePages
10.Cnf-45 Dr. Waleed Al-Hanafy
Dr. Stephan Weiss
A New Low-Cost Discrete Bit Loading Using Greedy Power Allocation

GS Citations

Dr. Waleed Al-Hanafy
Dr. Stephan Weiss
Sum-rate maximisation comparison using incremental approaches with different constraints

GS Citations

Dr. Khaled Daqrouq
Dr. Abdel-Rahman K. Al-Qawasmi
The study of wavelet filter speech enhancement method
10.Cnf-82 Mr. Rabi W. Yousif
Dr. Hojat Allah Rohi
A comprehensive study of effective parameters in TDRSS capacity
10.Cnf-386 Dr. Muneer Bani Yassein

Mr. Mosbah Al-Nawashi
Comparison between multi probabilistic schemes in MANETs using different parameters
10.Cnf-387 Dr. Khaled Daqrouq
The investigation of wavelet filters speech enhancement method
10.Cnf-388 Ms. Heyam Bader
Dr. Mousa T. Al Akhras
Dr. Abdel Latif Abu Dalhoum
Improved Detection of Blood Vessels from Digital Retinal Images Using optimised Gabor Filter

Electronic Voting Systems: A Tool for E-Democracy
10.Cnf-546 Mr. Esam Elossta
Dr. Stanley Ipson
Prof. Rami S. Qahwaji
Anew Approach for detection of Dust Storms Using Multi-spectral MODIS bands
10.Cnf-758 Paper View Page
Title A single feature extraction algorithm for text recognition of different families of languages
Authors Husni A. Al-Muhtaseb, , ,
Prof. Rami S. Qahwaji, University of Bradford, Bradford, UK
Abstract This work presents a single feature extraction algorithm that is being used successfully in text recognition for Arabic, English and Bangla. Each of these languages represents a language family. Arabic might represent Arabic, Urdu, Farsi and other right to left languages. English might represent Latin languages including French and Spanish as examples. Bangla might be a representative of Indic languages such as Hindi. The novelty of this work lies in the fact that it depends on a single type of features, which is the density distribution of the text images. This simple feature extraction method is tested on different languages to investigate its efficiency.
Track CSE: Computer Science and Engineering
Conference 3rd Mosharaka International Conference on Communications, Computers and Applications (MIC-CCA 2009)
Congress 2009 Global Congress on Communications, Computers and Applications (GC-CCA 2009), 26-28 October 2009, Amman, Jordan
Pages --1
ISSN 2227-331X
BibTeX @inproceedings{758CCA2009,
title={A single feature extraction algorithm for text recognition of different families of languages},
author={Husni A. Al-Muhtaseb, and Rami S. Qahwaji},
booktitle={2009 Global Congress on Communications, Computers and Applications (GC-CCA 2009)},
organization={Mosharaka for Research and Studies} }
Paper Views 509 Paper Views Rank 203/525
Paper Downloads 190 Paper Downloads Rank 190/525
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