Automatic license plate detection based on corner point and cluster
| Autor: | Maged H. Wafy, A. M. M. Madbouly |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Physics::Instrumentation and Detectors
business.industry Computer science Detector ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ComputerApplications_COMPUTERSINOTHERSYSTEMS ComputingMilieux_LEGALASPECTSOFCOMPUTING Pattern recognition GeneralLiterature_MISCELLANEOUS Edge detection Image (mathematics) Physics::Fluid Dynamics Cluster (physics) Preprocessor Computer vision Point (geometry) Artificial intelligence Cluster analysis business License |
| Zdroj: | 2013 9th International Computer Engineering Conference (ICENCO). |
| Popis: | This paper introduces an automatic method for licenses plate detection that using local corners points features, clustering and some properties of license plate. Licenses plates are rich corner point's area that can be used with some properties of license plate to locate licenses plate location. The algorithm has four stages; firstly, the quality of image is improved via preprocessing operations. Consequently, Harries corner point's detector is used. These corner points are gathered in clusters, where clustering of corner points were built on relative difference distance that guarantee the whole license plate will be in only one cluster. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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