Handwritten ZIP Code Recognition

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Fourth International Conference Document Analysis and Recognition (ICDAR'97)

Ulm, GERMANY

August 18-August 20

ISBN: 0-8186-7898-4

	ASCII Text	x
	Gregory Dzuba, Alexander Filatov, Alexander Volgunin, "Handwritten ZIP Code Recognition," Document Analysis and Recognition, International Conference on, pp. 766, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997.

	BibTex	x
	@article{ 10.1109/ICDAR.1997.620613, author = {Gregory Dzuba and Alexander Filatov and Alexander Volgunin}, title = {Handwritten ZIP Code Recognition}, journal ={Document Analysis and Recognition, International Conference on}, volume = {0}, year = {1997}, isbn = {0-8186-7898-4}, pages = {766}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.620613}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Document Analysis and Recognition, International Conference on TI - Handwritten ZIP Code Recognition SN - 0-8186-7898-4 SP EP A1 - Gregory Dzuba, A1 - Alexander Filatov, A1 - Alexander Volgunin, PY - 1997 KW - Handwriting recognition KW - address recognition KW - field localization KW - confidence level KW - cross validation KW - feature extraction VL - 0 JA - Document Analysis and Recognition, International Conference on ER -

Gregory Dzuba, Parascript, LLC, 1035 Pearl Street, Suite 206, Boulder, CO 80302 USA

Alexander Filatov, Parascript, LLC, 1035 Pearl Street, Suite 206, Boulder, CO 80302 USA

Alexander Volgunin, Parascript, LLC, 1035 Pearl Street, Suite 206, Boulder, CO 80302 USA

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.620613

The encoding of delivery point code (DPC) for handwritten address is one of the most complex problems of the US mail delivery automation. This paper describes a real-time system intended to recognize the 5-digit ZIP code part of DPC. To increase the system performance the results of ZIP code recognition are cross-validated with those of city and state names recognition. Main principles of the handwritten word recognizer which is the core of the system are explained. The system throughput is 40.000 address blocks per hour. Experimental results on live mail pieces are presented. ZIP code recognition rate is 73% with 1% error rate.

Index Terms:

Handwriting recognition, address recognition, field localization, confidence level, cross validation, feature extraction

Citation:

Gregory Dzuba, Alexander Filatov, Alexander Volgunin, "Handwritten ZIP Code Recognition," icdar, pp.766, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997

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