• DocumentCode
    1743004
  • Title

    Ink-link [character recognition]

  • Author

    El-Nasan, Adnan ; Nagy, George

  • Author_Institution
    Rensselaer Polytech. Inst., Troy, NY, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    573
  • Abstract
    Wide acceptance of inexpensive writing tablets with high fractionality motivates the development of individualized, adaptive online recognition of cursive script. We demonstrate a lexical algorithm based on bigram matches. The solution we propose is to: 1) generate a match list by partial-word matching against a reference list in the owner´s script; and 2) identify each unknown word by eliminating, from a large lexicon, every word that partially matches the transcript of any word on the reference list that is not on the match list, or that fails to match any word on the match list. With perfect feature-level matching, a surprisingly short reference list yields a high recognition rate
  • Keywords
    feature extraction; handwritten character recognition; pattern matching; real-time systems; bigram matching; character recognition; cursive script recognition; feature extraction; lexical algorithm; real time systems; writing tablets; Character recognition; Computer displays; Databases; Economic indicators; Ink; Law; Redundancy; Sorting; Vocabulary; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.906139
  • Filename
    906139