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Design of the License Plate Recognition Platform Based on the DSP Embedded System

机译:基于DSP嵌入式系统的车牌识别平台设计

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The license plate recognition system (LPRS) is a very important development direction of the intelligent transportation systems (ITS). With the development of the society and the enhancement of human living level, the amount of vehicle increases continually and the traffic status is deteriorating gradually, which brings large pressures for the society and the environment. The increasingly crowded city traffic needs more advanced and effective traffic management and control. It has been an important research direction to utilize the license plate recognition technology to enhance the management level and the traffic efficiency, and implement safe intelligent transportation management. In this article, the design, implementation and optimization of the DSP license plate recognition system which takes the TMS320C6201 of TI Corporation as the core chip were introduced. In this system, the video frequency (VF) decoding chip first translates the analog TV image signals obtained from CCD into the digital image signals which are inputted into DSP through FIFO buffer by the control of CPLD, and then aiming at the image, DSP performs the license plate positioning, the license plate character segmentation, the license plate character identification, the optical aberrance emendation, the nonlinear emendation of speed error and other algorithm operations to obtain the result of the license plate identification.
机译:车牌识别系统(LPRS)是智能交通系统(ITS)的非常重要的发展方向。随着社会的发展和人类生活水平的提高,车辆数量不断增加,交通状况逐渐恶化,给社会和环境带来巨大压力。日益拥挤的城市交通需要更先进,更有效的交通管理和控制。利用车牌识别技术来提高管理水平和交通效率,实现安全智能交通管理已成为重要的研究方向。本文介绍了以TI公司的TMS320C6201为核心芯片的DSP车牌识别系统的设计,实现和优化。在该系统中,视频(VF)解码芯片首先将从CCD获得的模拟电视图像信号转换为数字图像信号,然后通过CPLD的控制通过FIFO缓冲区将其输入到DSP,然后针对该图像,DSP执行通过对车牌定位,车牌字符分割,车牌字符识别,光学像差校正,速度误差的非线性校正等算法运算,得到车牌识别结果。

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