A morphological approach to text string extraction from regular periodic overlapping text/background images

Author

Liang, Su ; Ahmadi, M. ; Shridhar, M.

Author_Institution

Dept. of Electr. Eng., Windsor Univ., Ont., Canada

Volume

1

fYear

1994

fDate

13-16 Nov 1994

Firstpage

144

Abstract

A digitized image that consists of text strings and uniformly distributed background symbols must be segmented if the characters in the text string are to be recognized. This paper describes the development and implementation of morphological approach to character string extraction from regular periodic overlapping text/background images that minimizes the shape distortion of characters. The effectiveness of this algorithm is demonstrated on several test images

Keywords

image segmentation; mathematical morphology; optical character recognition; OCR; algorithm; background images; character recognition; digitized image; morphological approach; regular periodic overlapping text; shape distortion; test images; text string extraction; text strings; uniformly distributed background symbols; Character recognition; Geometry; Image recognition; Image segmentation; Morphology; Optical character recognition software; Postal services; Shape; Testing; Text recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413292

Filename

413292