DocumentCode :
3421450
Title :
2-D modeling and Hough transform for document analysis
Author :
Courtellemont, P. ; Olivier, C. ; Avila, M.
Author_Institution :
UFR des Sci., Rouen Univ., Mont-Saint-Aignan, France
fYear :
1992
fDate :
9-13 Nov 1992
Firstpage :
1325
Abstract :
The authors study how discrimination between text and graphics can be made in images binarized or not. The method used assumes that a block composed of text has privileged directions. In this case, the discrimination becomes a detection of lines by the Hough transform. The algorithm used is relatively independent of changes in text font, style, and size, as well as of string orientation. The images that are recognized either are nonbinarized, issue from a scanner, or issue from a charge-coupled device (CCD) camera
Keywords :
Hough transforms; document image processing; image recognition; 2-D modeling; Hough transform; binarized images; document analysis; nonbinarised images; text strings recognition; Charge coupled devices; Differential equations; Graphics; Image recognition; Partitioning algorithms; Pixel; Predictive models; Text analysis; Text recognition; White noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, Control, Instrumentation, and Automation, 1992. Power Electronics and Motion Control., Proceedings of the 1992 International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0582-5
Type :
conf
DOI :
10.1109/IECON.1992.254411
Filename :
254411
Link To Document :
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