• DocumentCode
    1437441
  • Title

    Text-line extraction and character recognition of document headlines with graphical designs using complementary similarity measure

  • Author

    Sawaki, Minako ; Hagita, Norihiro

  • Author_Institution
    NTT Basic Res. Labs., Kanagawa, Japan
  • Volume
    20
  • Issue
    10
  • fYear
    1998
  • fDate
    10/1/1998 12:00:00 AM
  • Firstpage
    1103
  • Lastpage
    1109
  • Abstract
    A method for recognizing characters on graphical designs is proposed. A new projection feature that separates text-line regions from backgrounds, and adaptive thresholding in displacement matching are introduced. Experimental results for newspaper headlines with graphical designs show a recognition rate of 97.7 percent
  • Keywords
    adaptive systems; document image processing; feature extraction; image matching; image segmentation; optical character recognition; OCR; adaptive thresholding; character recognition; character segmentation; displacement matching; document headlines; projection feature; similarity measure; text-line extraction; Adaptive optics; Character recognition; Computer Society; Gray-scale; Image segmentation; Natural languages; Optical character recognition software; Optical computing; Optical devices; Pattern matching;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.722625
  • Filename
    722625
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1437441