Historical Hand-Written String Recognition by Non-linear Discriminant Analysis using Kernel Feature Selection

Hong Kong August 20-August 24

DOI Bookmark:

http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.629

18th International Conference on Patt ...

	This Article
	PURCHASE ARTICLE: $19 PDF HTML IEEE Xplore Subscribers
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Ryo Inoue Articles by Hidehisa Nakayama Articles by Nei Kato

	ASCII Text	x
	Ryo Inoue, Hidehisa Nakayama, Nei Kato, "Historical Hand-Written String Recognition by Non-linear Discriminant Analysis using Kernel Feature Selection," Pattern Recognition, International Conference on, vol. 2, pp. 1094-1097, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006.

	BibTex	x
	@article{ 10.1109/ICPR.2006.629, author = {Ryo Inoue and Hidehisa Nakayama and Nei Kato}, title = {Historical Hand-Written String Recognition by Non-linear Discriminant Analysis using Kernel Feature Selection}, journal ={Pattern Recognition, International Conference on}, volume = {2}, year = {2006}, issn = {1051-4651}, pages = {1094-1097}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.629}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - Historical Hand-Written String Recognition by Non-linear Discriminant Analysis using Kernel Feature Selection SN - 1051-4651 SP1094 EP1097 A1 - Ryo Inoue, A1 - Hidehisa Nakayama, A1 - Nei Kato, PY - 2006 KW - null VL - 2 JA - Pattern Recognition, International Conference on ER -

Ryo Inoue, Tohoku University, Sendai, Japan

Hidehisa Nakayama, Tohoku University, Sendai, Japan

Nei Kato, Tohoku University, Sendai, Japan

In this paper, we propose a method to compose a classifier by non-linear discriminant analysis using kernel method combined with kernel feature selection for holistic recognition of historical hand-written string. Through experiments using historical hand-written string database HCD2, we show that our approach can obtain high recognition accuracy comparable to that of individual character recognition.

Citation:

Ryo Inoue, Hidehisa Nakayama, Nei Kato, "Historical Hand-Written String Recognition by Non-linear Discriminant Analysis using Kernel Feature Selection," icpr, vol. 2, pp.1094-1097, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.