A system for reading USA census '90 hand-written fields

  • Authors:
  • L. Simoncini;Z. M. Kovacs

  • Affiliations:
  • -;-

  • Venue:
  • ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
  • Year:
  • 1995

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Abstract

A specifically designed recognition system is presented for reading the Industry or Employer section of the Official 1990 U.S. Census form. This system was a participant in the 2nd Census OCR Systems Conference, organised by the U.S. Bureau of Census and the National Institute of Standards and Technology. It handles the complete reading task starting from the scanned raster image of the form arriving to an ASCII string containing what was written in the fields of the original form. The system is based on several building blocks, connected in a suitable way. In particular, the main operations of the recognition engine are: form identification, field isolation and bounding box removal, field and blob segmentation, broken character joining, isolated character recognition, word building, dictionary correction and finally, hypothesis and confidence generation. Each processing step is described an detail. Results on the NIST Special Database 13 are also reported.