Standard definition ANPR system on FPGA and an approach to extend it to HD

X. Zhai, F. Bensaali
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引用次数: 10

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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基于FPGA的标准定义ANPR系统及其高清扩展方法
车牌自动识别(ANPR)系统成为智能交通系统(ITS)中的一个重要研究课题。近年来,为了在ANPR系统中提供更好的性能,高清(HD)摄像机被广泛使用。然而,大多数已知的标准清晰度(SD)车牌定位(NPL)方法都不适合实时高清图像处理,因为车牌定位的计算密集型成本无法满足实时要求。本文首先描述了一种在SD ANPR系统中连接先前设计的NPL、字符分割和字符识别体系结构的解决方案。该系统将在一个独立的基于fpga的处理单元上实现。然后介绍了一种在不显著增加计算成本的情况下将SD ANPR系统扩展到HD ANPR系统的方法。
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