Title :
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
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;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413292
