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基于Cortex-A8的嵌入式车牌识别系统设计 被引量:5

Design of embedded license plate recognition system based on Cortex-A8
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摘要 车牌识别(License Plate Recognition,LPR)是智能交通系统(Intelligent Transport System,ITS)需要解决的重点问题之一,目前的车牌识别系统基本上是以PC机为平台实现的,在成本、体积、灵活性等方面有很大局限性。针对这一问题,设计了一种基于ARM嵌入式平台的车牌识别系统,并针对嵌入式平台改进和优化了车牌识别相关算法,经试验证明本系统不仅准确性好,而且成本低、体积小、功能可扩展性强。 License Plate Recognition (LPR) is one of the most important problems that need to be solved in the Intelligent Transport System (ITS). The current LPRs are mainly designed on the platform of personal computer, which have great limitations in terms of cost, volume and flexibility. Concerning this issue, a LPR is designed on the platform of embedded system based on ARM processor in this paper. And the relative algorithm about plate location and character recognition is improved. Experimental results show that this system is not only accurate, but also has these features such as low-cost, small size, height flexibility, and its function can be extended easily.
出处 《电子设计工程》 2015年第9期167-170,共4页 Electronic Design Engineering
基金 国家自然科学基金(61074088)
关键词 车牌识别 ARM 嵌入式 QT OPEN CV license plate recognition ARM embedded system Qt OpenCV
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