Abstract
Automatic Number Plate Recognition (ANPR) system becomes an important research topic in Intelligent Transportation systems (ITS). More recently, high-definition (HD) cameras are used for providing better performance in ANPR system. However, most known approaches for standard definition (SD) number plate localisation (NPL) are not suitable for real-time HD image processing as the real-time requirement cannot be met due to the computationally intensive cost of localising the number plate. In this paper, a solution to link previously designed architectures for NPL, character segmentation and character recognition in a SD ANPR system is first described. The system is to be implemented on a single stand-alone FPGA-based processing unit. An approach to extend the SD ANPR system to HD ANPR system without significantly increasing the computational cost is then introduced.
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