Methods, Report and Survey for the Comparison of Diverse Isolated Character Recognition Results on the UNIPEN Database

I
ICDAR
2003
Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1
Abstract - Methods, Report and Survey for the Comparison of Diverse Isolated Character Recognition Results on the UNIPEN Database

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	Similar Articles Articles by Eugene H. Ratzlaff

Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1

Edinburgh, Scotland

August 03-August 06

ISBN: 0-7695-1960-1

	ASCII Text	x
	Eugene H. Ratzlaff, "Methods, Report and Survey for the Comparison of Diverse Isolated Character Recognition Results on the UNIPEN Database," Document Analysis and Recognition, International Conference on, vol. 1, pp. 623, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003.

	BibTex	x
	@article{ 10.1109/ICDAR.2003.1227737, author = {Eugene H. Ratzlaff}, title = {Methods, Report and Survey for the Comparison of Diverse Isolated Character Recognition Results on the UNIPEN Database}, journal ={Document Analysis and Recognition, International Conference on}, volume = {1}, year = {2003}, isbn = {0-7695-1960-1}, pages = {623}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227737}, 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 - Methods, Report and Survey for the Comparison of Diverse Isolated Character Recognition Results on the UNIPEN Database SN - 0-7695-1960-1 SP EP A1 - Eugene H. Ratzlaff, PY - 2003 KW - null VL - 1 JA - Document Analysis and Recognition, International Conference on ER -

Eugene H. Ratzlaff, IBM T. J. Watson Research Center

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227737

A framework of data organization methods and corresponding recognition results for UNIPEN databases is presented to enable the comparison of recognition results from different isolated character recognizers. A reproducible method for splitting the Train-R01/V07 data into an array of multi-writer and omni-writer training and testing pairs is proposed. Recognition results and uncertainties are provided for each pair, as well as results for the DevTest-R01/V02 character subsets, using an online scanning n-tuple recognizer. Several other published results are surveyed within this context. In sum, this report provides the reader multiple points of reference useful for comparing a number of published recognition results and a proposed framework that similarly allows private evaluation of unpublished recognition results.

Citation:

Eugene H. Ratzlaff, "Methods, Report and Survey for the Comparison of Diverse Isolated Character Recognition Results on the UNIPEN Database," icdar, vol. 1, pp.623, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003

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