A system for data extraction from forms of known class

  • Authors:
  • F. Cesarini;M. Gori;S. Marinai;G. Soda

  • Affiliations:
  • -;-;-;-

  • Venue:
  • ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
  • Year:
  • 1995

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we describe a flexible and efficient system for processing forms of a known class. The model is based on attributed relational graphs and the system performs form registration and location of information fields using algorithms based on the hypothesize-and-verify paradigm. A special emphasis has been placed at the low level, where an autoassociator-based connectionist model has exhibited successful results in finding the instruction fields in very noisy forms.