A novel approach for automatic number plate recognition
Autor: | Sahil Shaikh, N. Raja, G. Bhatt, B. Lahiri |
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Rok vydání: | 2013 |
Předmět: |
Computer science
business.industry Template matching Binary image Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Pattern recognition Image segmentation Edge enhancement Digital image processing Computer vision Artificial intelligence business Unsharp masking |
Zdroj: | 2013 International Conference on Intelligent Systems and Signal Processing (ISSP). |
Popis: | In this paper, innovative method is proposed for number plate recognition. It uses series of image manipulations to recognize number plates. It uses 4-6 algorithms in order to do the same. For plate localization, several traditional images processing techniques are used. Techniques such as image enhancement, unsharp masking, edge detection, filtering and component analysis each plays a role in the extraction process. For character segmentation, connected components are extracted as individual number plate characters. Template Matching is in charge of the Optical Character Recognition. |
Databáze: | OpenAIRE |
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