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On-line Recognition of Pitman Shorthand for Fast Mobile Text Entry

  • Ma Yang
  • , Graham Leedham
  • , Colin Higgins
  • , Swe Myo Htwe

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

Abstract

A novel solution to on-line Pitman shorthand recognition for high speed text input (> 120wpm) to computer and mobile devices such as PDA's is proposed in this paper. Approaches to the recognition of three major components of Pitman shorthand - consonant outlines, vowel and diphthong symbols and are described in detail. Evaluation shows that the proposed approach achieved 84.4% recognition accuracy.
Original languageEnglish
Title of host publicationProceedings of the Third International Conference on Information Technology and Applications (ICITA'05)
EditorsXiangjian He, Tom Hintz, Massimo Piccardi, Qiang Wu, Maolin Huang, David Tien, Danielle C Martin
Place of PublicationLos Alamitos, United States of America
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages686-691
Volume1
ISBN (Print)0769523161
DOIs
Publication statusPublished - 2005
EventICITA 2005: 3rd International Conference on Information Technology and Applications - Sydney, Australia
Duration: 4 Jul 20057 Jul 2005

Conference

ConferenceICITA 2005: 3rd International Conference on Information Technology and Applications
CitySydney, Australia
Period4/07/057/07/05

Keywords

  • Image Processing
  • Pattern Recognition and Data Mining

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