Handwriting Recognition: Tablet PC Text Input.

The article discusses advancements in handwriting recognition technology for tablet personal computers (tablet PC) being developed at Microsoft Corp. The challenges of "pen-based computing" are addressed using a "time-delay neural network" (TDNN) to analyze sloppy handwriting. The recognition proces...

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Publicado en:Computer (00189162) Vol. 40; no. 9; pp. 49 - 55
Autor principal: Pittman, James A.
Formato: Artículo
Publicado: IEEE Sep2007
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Handwriting Recognition: Tablet PC Text Input.
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        au: Pittman, James A.
        affil: Microsoft
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        Computer software development
        Writing automation
        Graphology
        Artificial neural networks
        Word processing
        Data entry
        Laptop computers
        Computer software
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        subj:
          Computer software development
          Writing automation
          Graphology
          Artificial neural networks
          Word processing
          Data entry
          Laptop computers
          Computer software
      ab: The article discusses advancements in handwriting recognition technology for tablet personal computers (tablet PC) being developed at Microsoft Corp. The challenges of "pen-based computing" are addressed using a "time-delay neural network" (TDNN) to analyze sloppy handwriting. The recognition process is discussed in detail, with reference to lexicons and the "language-model context." Other topics discussed include personalization, error reporting, addressing the issue of offensive terms, and developing recognition systems in new orthographic language families.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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