Isolated Character Recognition by Searching Feature Points

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	Similar Articles Articles by Masakazu IWAMURA Articles by Kazuya NEGISHI Articles by Shinichiro OMACHI Articles by Hirotomo ASO

Eighth International Conference on Document Analysis and Recognition (ICDAR'05)

Seoul, Korea

August 31-September 01

ISBN: 0-7695-2420-6

	ASCII Text	x
	Masakazu IWAMURA, Kazuya NEGISHI, Shinichiro OMACHI, Hirotomo ASO, "Isolated Character Recognition by Searching Feature Points," Document Analysis and Recognition, International Conference on, pp. 1035-1039, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.

	BibTex	x
	@article{ 10.1109/ICDAR.2005.147, author = {Masakazu IWAMURA and Kazuya NEGISHI and Shinichiro OMACHI and Hirotomo ASO}, title = {Isolated Character Recognition by Searching Feature Points}, journal ={Document Analysis and Recognition, International Conference on}, volume = {0}, year = {2005}, issn = {1520-5263}, pages = {1035-1039}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.147}, 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 - Isolated Character Recognition by Searching Feature Points SN - 1520-5263 SP1035 EP1039 A1 - Masakazu IWAMURA, A1 - Kazuya NEGISHI, A1 - Shinichiro OMACHI, A1 - Hirotomo ASO, PY - 2005 KW - null VL - 0 JA - Document Analysis and Recognition, International Conference on ER -

Masakazu IWAMURA, Osaka Prefecture University, Japan

Kazuya NEGISHI, Tohoku University, Japan

Shinichiro OMACHI, Tohoku University, Japan

Hirotomo ASO, Tohoku University, Japan

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.147

Conventional segmentation technique cannot extract dif- ficult characters such as an isolated character and a touching character. In this paper, we propose a novel character recognition method which executes segmentation and recognition simultaneously. This method enables us to extract and recognize such difficult characters. The effectiveness of the proposed method is confirmed by experiments.

Citation:

Masakazu IWAMURA, Kazuya NEGISHI, Shinichiro OMACHI, Hirotomo ASO, "Isolated Character Recognition by Searching Feature Points," icdar, pp.1035-1039, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005

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