DocumentCode :
1056115
Title :
Form design for high accuracy optical character recognition
Author :
Garris, Michae D. ; Dimmick, Darrin L.
Author_Institution :
Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA
Volume :
18
Issue :
6
fYear :
1996
fDate :
6/1/1996 12:00:00 AM
Firstpage :
653
Lastpage :
656
Abstract :
To successfully apply character recognition technology most of the forms currently hand-keyed will need to be redesigned. This paper presents results from a comprehensive study of three versions of a redesigned tax form. Analyses show that using separately spaced character boxes provides superior machine readability over fields containing combs and adjoining character boxes. It is shown that character boxes containing two vertically stacked ovals cause writers much more difficulty. Analyses provide proof that writer idiosyncratic responses on forms are the major source of errors, and proper form design can reduce these errors
Keywords :
business forms; financial data processing; human factors; neural nets; optical character recognition; character boxes; form design; handwriting recognition; idiosyncratic response; machine readability; optical character recognition; probabilistic neural networks; tax form; Character recognition; Government; Image recognition; Image segmentation; Integrated optics; NIST; Optical character recognition software; Optical computing; Optical design; Optical fiber networks;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.506417
Filename :
506417
Link To Document :
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