Segmentation of stick text based on sub connected area analysis

Gao Jingbo; Li Xinyou; Tang Zesheng

Segmentation of stick text based on sub connected area analysis

Gao Jingbo^*
, Li Xinyou
, Tang Zesheng

^*Corresponding author for this work

Tsinghua University

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Pages	417-421
Number of pages	5
State	Published - 1997
Externally published	Yes
Event	Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR'97. Part 1 (of 2) - Ulm, Ger Duration: 18 Aug 1997 → 20 Aug 1997

Conference

Conference	Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR'97. Part 1 (of 2)
City	Ulm, Ger
Period	18/08/97 → 20/08/97

Cite this

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title = "Segmentation of stick text based on sub connected area analysis",

abstract = "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.",

author = "Gao Jingbo and Li Xinyou and Tang Zesheng",

year = "1997",

language = "英语",

pages = "417--421",

note = "Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR'97. Part 1 (of 2) ; Conference date: 18-08-1997 Through 20-08-1997",

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T1 - Segmentation of stick text based on sub connected area analysis

AU - Jingbo, Gao

AU - Xinyou, Li

AU - Zesheng, Tang

PY - 1997

Y1 - 1997

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0030658433

M3 - 论文

AN - SCOPUS:0030658433

SP - 417

EP - 421

T2 - Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR'97. Part 1 (of 2)

Y2 - 18 August 1997 through 20 August 1997

ER -

Segmentation of stick text based on sub connected area analysis

Abstract

Conference

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