Name
Abstract | ||
|---|---|---|
The Generalized Hough Transform is a technique used todetect arbitrary objects in a given image. This techniqueis known for its capacity of absorption of distortions aswell as noises. In the present paper, we describe anapproach showing the efficiency of the use of theGeneralized Hough Transform to recognize Arabicprinted characters in their different shapes. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICDAR.2003.1227856 | ICDAR-1 |
Keywords | Field | DocType |
todetect arbitrary object,thegeneralized hough transform,present paper,generalized hough transform,different shape,arabic optical character recognition,arabicprinted character,distortions aswell,noise shaping,shape,absorption,optical character recognition,voting | Object detection,Computer vision,Character recognition,Arabic,Pattern recognition,Computer science,Optical character recognition,Hough transform,Optical distortion,Noise shaping,Artificial intelligence,Optical noise | Conference |
ISSN | ISBN | Citations |
1520-5363 | 0-7695-1960-1 | 5 |
PageRank | References | Authors |
0.67 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sofien Touj | 1 | 6 | 1.02 |
| Najoua Essoukri Ben Amara | 2 | 209 | 41.48 |
| Hamid Amiri | 3 | 86 | 19.36 |