Skew Detection for Complex Document Images Using Fuzzy Runlength

Edinburgh, Scotland August 03-August 06

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http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227755

Seventh International Conference on D ...

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	Zhixin Shi, Venu Govindaraju, "Skew Detection for Complex Document Images Using Fuzzy Runlength," Document Analysis and Recognition, International Conference on, vol. 2, pp. 715, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003.

	BibTex	x
	@article{ 10.1109/ICDAR.2003.1227755, author = {Zhixin Shi and Venu Govindaraju}, title = {Skew Detection for Complex Document Images Using Fuzzy Runlength}, journal ={Document Analysis and Recognition, International Conference on}, volume = {2}, year = {2003}, isbn = {0-7695-1960-1}, pages = {715}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227755}, 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 - Skew Detection for Complex Document Images Using Fuzzy Runlength SN - 0-7695-1960-1 SP EP A1 - Zhixin Shi, A1 - Venu Govindaraju, PY - 2003 KW - null VL - 2 JA - Document Analysis and Recognition, International Conference on ER -

Zhixin Shi, State University of New York at Buffalo

Venu Govindaraju, State University of New York at Buffalo

A skew angle estimation approach based on the application of a fuzzy directional runlength is proposed for complex address images. The proposed technique was tested on a variety of USPS parcel images including both machine print and handwritten addresses. The testing results showed a successful rate more than 90% of the test set.

Citation:

Zhixin Shi, Venu Govindaraju, "Skew Detection for Complex Document Images Using Fuzzy Runlength," icdar, vol. 2, pp.715, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003

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