DocumentCode :
1645504
Title :
A configurable toolkit approach to handwritten forms recognition
Author :
Downton, A.C. ; Amiri, A. ; Du, L. ; Lucas, S.M.
Author_Institution :
Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK
fYear :
1995
fDate :
11/2/1995 12:00:00 AM
Firstpage :
42401
Lastpage :
42406
Abstract :
Describes a software architecture for configuring and integrating a toolkit of standard OCR components with user-specified form-specific contextual knowledge. The authors illustrate the use of the toolkit by describing two different handwritten form applications, a DSS-P14 tax form and an insurance proposal form. They show the architecture of the overall system, the components required to build it, and present initial results obtained after evaluating the performance of the system using representative forms databases
Keywords :
optical character recognition; software tools; DSS-P14 tax form; OCR; configurable toolkit; configuring; handwriting; handwritten form; insurance proposal form; integrating; optical character recognition; pattern recognition; software architecture; software tool; user-specified form-specific contextual knowledge;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Document Image Processing and Multimedia Environments, IEE Colloquium on
Conference_Location :
London
Type :
conf
DOI :
10.1049/ic:19951183
Filename :
498876
Link To Document :
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