Logical structure analysis of document images based on emergent computation

Author

Ishitani, Yasuto

Author_Institution

Toshiba Corp., Kawasaki, Japan

fYear

1999

fDate

20-22 Sep 1999

Firstpage

189

Lastpage

192

Abstract

A new method for logical structure analysis of document images is proposed in this paper as the basis for a document reader which can extract logical information from various printed documents. The proposed system consists of five basic modules: typography analysis, object recognition, object segmentation, object grouping and object modification. Emergent computation, which is a key concept of artificial life, is adopted for the cooperative interaction among the modules in the system in order to achieve an effective and flexible behavior of the whole system. It has two principal advantages over other methods: adaptive system configuration for various and complex logical structures, and robust document analysis that is tolerant of erroneous feature detection

Keywords

adaptive systems; artificial life; cooperative systems; document image processing; feature extraction; image segmentation; object recognition; subroutines; adaptive system configuration; artificial life; cooperative interaction; document images; document reader; emergent computation; erroneous feature detection; error tolerance; logical information extraction; logical structure analysis; modules; object grouping; object modification; object recognition; object segmentation; printed documents; robust document analysis; typography analysis; Adaptive systems; Data mining; Electrical capacitance tomography; Image analysis; Information analysis; Joining processes; Labeling; Read only memory; System performance; Text analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on

Conference_Location

Bangalore

Print_ISBN

0-7695-0318-7

Type

conf

DOI

10.1109/ICDAR.1999.791756

Filename

791756