• DocumentCode
    2832987
  • Title

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

  • Author

    Simoncini, L. ; Kovacs, Z.M.

  • Author_Institution
    Dipartimento di Elettronica, Inf. e Sistemistica, Bologna Univ., Italy
  • Volume
    1
  • fYear
    1995
  • fDate
    14-16 Aug 1995
  • Firstpage
    86
  • 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
  • Keywords
    government data processing; handwriting recognition; optical character recognition; standards; ASCII string; NIST Special Database; USA census ´90 handwritten fields reading; blob segmentation; bounding box removal; broken character joining; complete reading task; confidence generation; dictionary correction; field isolation; form identification; isolated character recognition; scanned raster image; word building; Character generation; Character recognition; Dictionaries; Digital images; Engines; Image databases; NIST; Office automation; Optical character recognition software; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-8186-7128-9
  • Type

    conf

  • DOI
    10.1109/ICDAR.1995.598950
  • Filename
    598950