December 16, 2013

Present to receive the pass or card - with labor also is seen in many places, such as on the highway. Shopping mall Or even by agencies The system is causing delays. And crashes for drivers especially. Because sometimes a waiting car as long. Especially during rush hour.
Ms. Jantana intelligence Segafredo Professor, Department of Electrical Engineering. Faculty of Engineering, Mb. Those ideas and develop the system is described as an automatic license plate detection system using artificial neural network. And hysteresis calls this program. Using the recognition To be adapted to the detection bilregister of car license plate entrance - off. To reduce labor And add comfort to the rider.
The working principle is Image of video cameras bilregister in real-time load (real-time), after which send the images bilregister to the image processing. To resize using bi-cubic approximation. Images can be forwarded to the edges (edge) of the license plates. When the image plate already. Truncates the The province is taken over the rest, but the numbers in the classification process. The principles of how neural networks bilregister and heat histogram.
The final step is to save the data stored in the file to be stored bilregister into a database. The results noted that the program can detect license plates can be accurate to 70% of factors bilregister that affect classification numbers, such as lighting, distance, etc. The amount of light is sufficient. The distance between the camera and videotape the license plates to fit about 0.5-3 meters and must have a license plate not less than 10% of all. The average processing time to about 1.2 seconds per image.
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December 16, 2013
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