Segmentation of Stick Text Based on Sub Connected Area Analysis

Ulm, GERMANY August 18-August 20

DOI Bookmark:

http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.619881

Fourth International Conference Docum ...

	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 Gao Jingbo Articles by Li Xinyou Articles by Tang Zesheng

	ASCII Text	x
	Gao Jingbo, Li Xinyou, Tang Zesheng, "Segmentation of Stick Text Based on Sub Connected Area Analysis," Document Analysis and Recognition, International Conference on, pp. 417, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997.

	BibTex	x
	@article{ 10.1109/ICDAR.1997.619881, author = {Gao Jingbo and Li Xinyou and Tang Zesheng}, title = {Segmentation of Stick Text Based on Sub Connected Area Analysis}, journal ={Document Analysis and Recognition, International Conference on}, volume = {0}, year = {1997}, isbn = {0-8186-7898-4}, pages = {417}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.619881}, 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 - Segmentation of Stick Text Based on Sub Connected Area Analysis SN - 0-8186-7898-4 SP EP A1 - Gao Jingbo, A1 - Li Xinyou, A1 - Tang Zesheng, PY - 1997 KW - stick text KW - text segmentation KW - sub connected area VL - 0 JA - Document Analysis and Recognition, International Conference on ER -

Gao Jingbo, Tsinghua University

Li Xinyou, Tsinghua University

Tang Zesheng, Tsinghua University

A new stick text segmentation method based on the sub connected area analysis is introduced in this paper. The foundation of this method is the sub connected area representation of text image that can represent all connected areas in an image efficiently. This method consists mainly four steps: sub connected area classification, finding initial boundary following point, finding optimal segmentation point by boundary tracing, text segmentation. This method is similar to boundary analysis method but is efficient than boundary analysis.

Index Terms:

stick text, text segmentation, sub connected area

Citation:

Gao Jingbo, Li Xinyou, Tang Zesheng, "Segmentation of Stick Text Based on Sub Connected Area Analysis," icdar, pp.417, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997

Peer Review Notice | Give Us Feedback

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