Segmentation of stick text based on sub connected area analysis

Author

Jingbo, Gao ; Xinyou, Li ; Zesheng, Tang

Author_Institution

Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China

Volume

1

fYear

1997

fDate

18-20 Aug 1997

Firstpage

417

Abstract

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

Keywords

document image processing; edge detection; image classification; image representation; image segmentation; optical character recognition; boundary analysis method; boundary tracing; initial boundary following point; optical character recognition; optimal segmentation point; stick text segmentation method; subconnected area analysis; subconnected area classification; text image representation; Character recognition; Computer science; Image representation; Image segmentation; Information analysis; Pixel; Text recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on

Conference_Location

Ulm

Print_ISBN

0-8186-7898-4

Type

conf

DOI

10.1109/ICDAR.1997.619881

Filename

619881