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