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Abstract: Automatic reading of numerical elds has been attempted in several application areas such as bank cheque processing, postal code recognition, and form processing. Such applications have been very popular in handwriting recognition research, due to the availability of relatively inexpensive CPU power, and the possibility to reduce considerably the manual eort involved in these tasks. (Update)
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BibTeX entry: (Update)
L. S. Oliveira, R. Sabourin, F. Bortolozzi, and C. Y. Suen. Automatic recognition of handwritten numerical strings: A recognition and veri cation strategy. IEEE Trans. on Pattern Analysis and Machine Intelligence, 24(11):14381454, 2002. http://citeseer.ist.psu.edu/article/soaresoliveira03automatic.html More
@misc{ oliveira02automatic,
author = "L. Oliveira and R. Sabourin and F. Bortolozzi and C. Suen",
title = "Automatic recognition of handwritten numerical strings: A recognition and
veri cation strategy",
text = "L. S. Oliveira, R. Sabourin, F. Bortolozzi, and C. Y. Suen. Automatic recognition
of handwritten numerical strings: A recognition and veri cation strategy.
IEEE Trans. on Pattern Analysis and Machine Intelligence, 24(11):14381454,
2002.",
year = "2002",
url = "citeseer.ist.psu.edu/article/soaresoliveira03automatic.html" }
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Documents on the same site (http://www.livia.etsmtl.ca/publications/theses.htm):
Large Vocabulary Off-Line Handwritten Word Recognition - Koerich (2002) (Correct)
Automatic Recognition of Handwritten Dates on Brazilian Bank.. - Morita (2003) (Correct)
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