Tung Duy Ta
ABSTRACT
Due to unlimited increase of cars and transportation systems, a real time embedded system called Automatic Number Plate Recognition (ANPR) is very important for humans to detect and manage. This paper presents results of developing and deploying an ANPR applied to electronic tolling collection (ETC) systems in Vietnam with some special issues. Our model is designed and investigated by using a VIVOTEK IP8361 camera to capture an image. After that, the image is transmitted to an industrial computer to process. In detail, the image is processed first to reduce noise and artifacts by a low-pass filter before our software detects plate candidates. The characters in the candidates are then extracted by an optical character recognition utilizing neural network. We also employ Microsoft visual C sharp integrated development environment to build graphical user interface. Experimental results manifest the high accuracy of our method achieving approximately 85.00% and the processing time of only about 20--30ms.
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Index Terms
- Automatic number plate recognition on electronic toll collection systems for Vietnamese conditions
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