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
Link To Document :
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