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Printed Arabic character recognition using HMM

Published: 01 July 2004 Publication History

Abstract

The Arabic Language has a very rich vocabulary. More than 200 million people speak this language as their native speaking, and over 1 billion people use it in several religion-related activities. In this paper a new technique is presented for recognizing printed Arabic characters. After a word is segmented, each character/word is entirely transformed into a feature vector. The features of printed Arabic characters include strokes and bays in various directions, endpoints, intersection points, loops, dots and zigzags. The word skeleton is decomposed into a number of links in orthographic order, and then it is transferred into a sequence of symbols using vector quantization. Single hidden Markov model has been used for recognizing the printed Arabic characters. Experimental results show that the high recognition rate depends on the number of states in each sample.

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Information & Contributors

Information

Published In

cover image Journal of Computer Science and Technology
Journal of Computer Science and Technology  Volume 19, Issue 4
Jul 2004
145 pages

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 July 2004
Revision received: 21 November 2003
Received: 10 July 2003

Author Tags

  1. pattern recognition
  2. off-line Arabic character recognition
  3. feature extraction
  4. hidden Markov models

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Cited By

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  • (2024)A Low Resource Multi-lingual Simultaneous Script Identification and Text Recognition ModelSN Computer Science10.1007/s42979-024-03107-65:6Online publication date: 31-Jul-2024
  • (2024)A Deep Neural Network Based Holistic Approach for Optical Character Recognition of Handwritten DocumentsSN Computer Science10.1007/s42979-024-02713-85:4Online publication date: 27-Mar-2024
  • (2017)Isolated Handwritten Arabic Character Recognition Using Freeman Chain Code and Tangent LineProceedings of the International Conference on Research in Adaptive and Convergent Systems10.1145/3129676.3129678(79-84)Online publication date: 20-Sep-2017
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  • (2014)KHATTPattern Recognition10.1016/j.patcog.2013.08.00947:3(1096-1112)Online publication date: 1-Mar-2014
  • (2013)Offline arabic handwritten text recognitionACM Computing Surveys10.1145/2431211.243122245:2(1-35)Online publication date: 12-Mar-2013
  • (2011)Recognition of Arabic (Indian) bank check digits using log-gabor filtersApplied Intelligence10.1007/s10489-010-0235-235:3(445-456)Online publication date: 1-Dec-2011
  • (2010)The use of radon transform in handwritten Arabic (Indian) numerals recognitionWSEAS Transactions on Computers10.5555/1852392.18523979:3(252-267)Online publication date: 1-Mar-2010
  • (2010)Recognition of handwritten Arabic (Indian) numerals using Radon-Fourier-based featuresProceedings of the 9th WSEAS international conference on Signal processing, robotics and automation10.5555/1807817.1807847(158-163)Online publication date: 20-Feb-2010
  • (2005)A robust free size OCR for omni-font persian/arabic printed document using combined MLP/SVMProceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications10.1007/11578079_63(601-610)Online publication date: 15-Nov-2005

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