A database for handwritten text recognition research
Hull, J.J.
CEDAR, State Univ. of New York, Buffalo, NY;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: May 1994
Volume: 16,
Issue: 5
On page(s): 550-554
ISSN: 0162-8828
References Cited: 9
CODEN: ITPIDJ
INSPEC Accession Number: 4713254
Digital Object Identifier: 10.1109/34.291440
Current Version Published: 2002-08-06
Abstract
An image database for handwritten text recognition research is
described. Digital images of approximately 5000 city names, 5000 state
names, 10000 ZIP Codes, and 50000 alphanumeric characters are included.
Each image was scanned from mail in a working post office at 300
pixels/in in 8-bit gray scale on a high-quality flat bed digitizer. The
data were unconstrained for the writer, style, and method of
preparation. These characteristics help overcome the limitations of
earlier databases that contained only isolated characters or were
prepared in a laboratory setting under prescribed circumstances. Also,
the database is divided into explicit training and testing sets to
facilitate the sharing of results among researchers as well as
performance comparisons
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