Hierarchical scheme for Arabic text recognition

Abedelkadir Asi, Jihad El-Sana, Volker Margner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The holistic approach for word recognition has become widely accepted in Arabic text recognition research. However, the large search space limits this approach to domains with small vocabularies. In this work, we present a novel approach to generate hierarchical representation for the shapes of Arabic continuous sub-words. The top levels of the hierarchy include the coarse representations of sub-words, and the low levels include the fine representations. The construction of the hierarchy is performed bottom up; the shapes at each level are simplified and classified to generate the next level. The search for an appropriate match is performed top down; at each level it traverses sub-trees, whose roots have the highest match rate.

Original languageAmerican English
Title of host publication2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012
Pages1266-1271
Number of pages6
DOIs
StatePublished - 12 Nov 2012
Event2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012 - Montreal, QC, Canada
Duration: 2 Jul 20125 Jul 2012

Publication series

Name2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012

Conference

Conference2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012
Country/TerritoryCanada
CityMontreal, QC
Period2/07/125/07/12

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Signal Processing

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