Block segmentation and text area extraction of vertically/horizontally written document

Author

Amamoto, Naohiro ; Torigoe, Shin ; Hirogaki, Yoshitaka

Author_Institution

OKI Electric Ind. Co., Ltd., Osaka, Japan

fYear

1993

fDate

20-22 Oct 1993

Firstpage

739

Lastpage

742

Abstract

The development of a computational method for extracting character portions from a complicated document is described. The goal of the proposed method is to realize a practical document structure analysis for advanced optical character recognition systems with document databases. The authors mainly discuss a structural extraction technique called “text area extraction” which locates all text areas in 255 of the 309 (83%) evaluation documents

Keywords

document image processing; feature extraction; image segmentation; optical character recognition; visual databases; advanced optical character recognition systems; block segmentation; character portions; computational method; document databases; document structure analysis; structural extraction technique; text area extraction; vertically/horizontally written document; Character recognition; Computer industry; Data mining; Image segmentation; Laboratories; Optical character recognition software; Optical computing; Text analysis; White spaces; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on

Conference_Location

Tsukuba Science City

Print_ISBN

0-8186-4960-7

Type

conf

DOI

10.1109/ICDAR.1993.395631

Filename

395631