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A hybrid system for locating and recognizing low level graphic items

  • F. Cesarini
  • M. Gori
  • S. Marinai
  • G. Soda
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1072)

Abstract

This paper addresses the problem of locating and recognizing graphic items in document images. The proposed approach allows us to recognize such items also in the presence of high noise, scaling, and rotation. This is accomplished by a hybrid model which performs graphic item location by morphological operations and connected component analysis, and item recognition by a proper connectionist model. Some very promising experimental results are reported to support the proposed algorithms.

Keywords

Word Recognition Document Image Hide Unit Morphological Operation Black Pixel 
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 1996

Authors and Affiliations

  • F. Cesarini
    • 1
  • M. Gori
    • 1
  • S. Marinai
    • 1
  • G. Soda
    • 1
  1. 1.Dipartimento di Sistemi e InformaticaUniverstità di FirenzeFirenzeItalia

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