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Using Radon Transform to Recognize Skewed Images of Vehicular License Plates
- Source :
- Computer. 49:59-65
- Publication Year :
- 2016
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2016.
-
Abstract
- An algorithm that projects image intensity along a radial line oriented at a specific angle enables the recognition of vehicular license plates at odd angles. The algorithm determines orientation angle, rotates the image to a horizontal perspective, and removes image noise from rotation to achieve recognition accuracy as high as 98 percent.
- Subjects :
- General Computer Science
Radon transform
Computer science
Orientation (computer vision)
business.industry
Perspective (graphical)
020302 automobile design & engineering
02 engineering and technology
Radial line
0203 mechanical engineering
Computer Science::Computer Vision and Pattern Recognition
Pattern recognition (psychology)
0202 electrical engineering, electronic engineering, information engineering
Image noise
020201 artificial intelligence & image processing
Computer vision
Algorithm design
Artificial intelligence
business
Rotation (mathematics)
Subjects
Details
- ISSN :
- 00189162
- Volume :
- 49
- Database :
- OpenAIRE
- Journal :
- Computer
- Accession number :
- edsair.doi...........39d8ae0a6bac04c2a0e51e15f3277c1e
- Full Text :
- https://doi.org/10.1109/mc.2016.14