基于FPGA的标准定义ANPR系统及其高清扩展方法

X. Zhai, F. Bensaali
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引用次数: 10

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Standard definition ANPR system on FPGA and an approach to extend it to HD
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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