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1) Implemented an algorithm based on Mexican hat operator and Euler number of binary image for vehicle license plate localization.
2) Back propagation artificial neural network classifier has been used to train and test the neural network based on the extracted feature.
3) A thorough testing of algorithm is performed on a database with varying illumination and plate conditions. Results are encouraging with success rate of 98.1% for license plate localization and 97.05% for character recognition.
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