The layout recognition and reconstruction of Chinese documents based on Gabor filter

Author

Tian, Xue-dong ; Guo, Bao-lan

Author_Institution

Sch. of Math. & Comput., Hebei Univ., Baoding, China

Volume

4

fYear

2002

fDate

4-5 Nov. 2002

Firstpage

1707

Abstract

The layout recognition of Chinese documents is one of the most difficult pattern recognition problems, because it concerns a great number of classes and many variations. In this paper, an intelligent layout recognition and reconstruction system is put forward on the basis of the analysis of the present methods. The algorithms of the pivotal processing steps such as layout analysis and character font recognition are discussed. Especially, a 2D Gabor filter is used in character font recognition to improve the adaptability to the Chinese document. Experiments have been made and some promising results have been drawn.

Keywords

document image processing; filtering theory; knowledge based systems; 2D Gabor filter; Chinese document layout recognition; Chinese document reconstruction; Gabor filter; character font recognition; intelligent system; pattern recognition; pivotal processing steps; Algorithm design and analysis; Character recognition; Electronic mail; Gabor filters; Image reconstruction; Information analysis; Mathematics; Optical character recognition software; Pattern recognition; Text analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on

Print_ISBN

0-7803-7508-4

Type

conf

DOI

10.1109/ICMLC.2002.1175326

Filename

1175326