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Optical character recognition without segmentation

  • Mehmet Ali Özdil
  • Fatop T. Yarman-Vural
  • Nafiz Arica
Poster Session D: Biomedical Applications, Detection, Control & Surveillance, Inspection, Optical Character Recognition
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)

Abstract

In this study, an off-line optical character recognition scheme is presented. The proposed method performs the recognition by extracting the characters from the whole word, thus, avoiding segmentation process which is the most significant source of error in the recognition process.

Keywords

Control Point Hide Markov Model Recognition Rate Character Recognition Attribute Vector 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Mehmet Ali Özdil
    • 1
  • Fatop T. Yarman-Vural
    • 1
  • Nafiz Arica
    • 1
  1. 1.Department of Computer EngineeringMiddle East Technical UniversityTurkey

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