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Research Paper | Electronics & Communication Engineering | India | Volume 5 Issue 11, November 2016
Automatic Number Plate Recognition for use in Different Countries Using Embedded System (Real Time Approach)
Radhika Shrirampant Dangare | G. D. Dalvi 
Abstract: Automatic Number Plate Recognition (ANPR) is a real time embedded system which identifies the characters directly from the image of the license plate. It is an active area of research. ANPR systems are very useful to the law enforcement agencies as the need for Radio Frequency Identification tags & similar equipments are mini mized. Additionally, there is an option available to the end-user for retraining the Artificial Neural Network (ANN) by building a new sample font database. This can improve the system performance & make the system more efficient by taking relevant samples. Traffic control & vehicle owner identification has become major problem in every country. Sometimes, it becomes difficult to identify vehicle owner who violates traffic rules & drives too fast. Therefore, it is not possible to catch & punish those kinds of people because the traffic personal might not be able to retrieve vehicle number from the moving vehicle because of the speed of the vehicle. Hence, its a need to develop Automatic Number Plate Recognition (ANPR) system as a one of the solutions to this problem.
Keywords: Automatic Number Plate Recognition ANPR, Artificial Neural Network ANN, Number Plate, Optical Character Recognition
Edition: Volume 5 Issue 11, November 2016,
Pages: 1301 - 1303