DocumentCode
3217562
Title
Reading newspaper text
Author
Lam, Stephen W. ; Wang, Dacheng ; Srihari, Sargur N.
Author_Institution
Dept. of Comput. Sci., State Univ. of New York, Buffalo, NY, USA
Volume
i
fYear
1990
fDate
16-21 Jun 1990
Firstpage
703
Abstract
The authors describe a method for segmenting a newspaper page image into labeled macro components (blocks) and recognizing the content. Connected component analysis is used to segment a newspaper image into several rectangular blocks and to filter connected components into character and noncharacter components. Textural analysis is then used to classify the remaining noncharacter components into graphics and photographs. Experimental results indicate that these techniques work very well
Keywords
computerised pattern recognition; computerised picture processing; document image processing; connected component analysis; graphics; newspaper page image; newspaper text; photographs; segmentation; textural analysis; Character recognition; Computer science; Filtering; Graphics; Gray-scale; Image analysis; Image recognition; Image segmentation; Labeling; Merging;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location
Atlantic City, NJ
Print_ISBN
0-8186-2062-5
Type
conf
DOI
10.1109/ICPR.1990.118197
Filename
118197
Link To Document