Associating text and graphics for scientific chart understanding

Author

Huang, Weihua ; Tan, Chew Lim ; Leow, Wee Kheng

Author_Institution

Sch. of Comput., National Univ. of Singapore, Singapore

fYear

2005

fDate

29 Aug.-1 Sept. 2005

Firstpage

580

Abstract

This paper presents our recent work that aims at associating the recognition results of textual and graphical information contained in the scientific chart images. Text components are first located in the input image and then recognized using OCR. On the other hand, the graphical objects are segmented and form high level symbols. Both logical and semantic correspondence between text and graphical symbols are identified. The association of text and graphics allows us to capture the semantic meaning carried by scientific chart images in a more complete way. The result of scientific chart image understanding is presented using XML documents.

Keywords

computer graphics; document image processing; optical character recognition; text analysis; XML documents; graphical object segmentation; graphics symbols; scientific chart image understanding; text symbols; Engineering drawings; Graphics; Image analysis; Image recognition; Image segmentation; Optical character recognition software; Text analysis; Text processing; Text recognition; XML;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on

ISSN

1520-5263

Print_ISBN

0-7695-2420-6

Type

conf

DOI

10.1109/ICDAR.2005.54

Filename

1575611