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|A bayesian approach for licence plate recognition developed on a realistic simulation environment
|Efeler, Mahmut Cenk
Altınkaya, Mustafa Aziz
|license plate recognition
Bayesian pattern recognition
|Institute of Electrical and Electronics Engineers Inc.
|Signal Processing and Communications Applications Conference
|Template matching is one of the most common methods for license plate recognition. This method discards prior probabilities of license plate codes. The posterior code class probabilities constructed by including the prior probability information are expected to improve the recognition performance. The probability information that needs to be included requires extensive training data, which is quite costly to obtain. In order to generate these training images a license plate image simulator is developed with a realistic noise model. Simulated license plate images are then used to test a Bayesian decision theory based recognition procedure. Test results indicate that, with the inclusion of prior information, significant recognition gain is obtained with respect to standard template matching method at high noise levels.
|21st Signal Processing and Communications Applications Conference (SIU)
|Appears in Collections:
|WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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checked on Feb 23, 2024
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