Recent approaches in online handwriting recognition for Persian and Arabic right-to-left languages

Sanaz Adel Alipour, Narges Tabatabaey-Mashadi, Hassan Abbassi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Online handwriting recognition redefined along the rapid change of technology which began to replace keyboards with digital pen and tablets. However compared to English letter-based languages, less attention is paid to right-to-left languages especially Persian and Arabic. The complex nature of cursive writing in these languages acquires elaborate methods to simultaneously take speed, accuracy and complexity into account. This paper overviews the up-to-date efforts put into online Persian and Arabic handwriting recognition. Through this paper word/stroke-based and segment-based methods are discussed. Additionally template based recognition algorithms and artificial intelligent approaches are explained with respect to dictionary check requirements and benchmark databases. Real-time online handwriting recognition of such languages is another recent field of interest that is researched for potentially practical methods.

Original languageEnglish
Title of host publication2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings
Place of PublicationNew Jersey, United States
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages358-364
Number of pages7
ISBN (Electronic)9781467390262
DOIs
Publication statusPublished - 10 May 2017
Event2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Chengdu, China
Duration: 14 Oct 201617 Oct 2016

Publication series

Name2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings

Conference

Conference2nd IEEE International Conference on Computer and Communications, ICCC 2016
Country/TerritoryChina
CityChengdu
Period14/10/1617/10/16

Keywords

  • Online handwriting recognition
  • Real time handwriting recognition
  • Right-to-left language
  • Segment-based
  • Word-based

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management
  • Health Informatics
  • Computer Networks and Communications
  • Computer Science Applications

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