随着全球经济的快速发展及人民生活水平的日益提高，各国车辆数目逐渐增多，

随着全球经济的快速发展及人民生活水平的日益提高，各国车辆数目逐渐增多，城市交通压力不断增大，对车辆的自动化管理也显得尤为重要。针对这一问题，运用电子科学技术实现安全、高效的智能交通系统（Intelligent Transport Systems, ITS）成为交通管理的主要发展方向。
由于FPGA的并行特性及半导体工艺的飞速发展使FPGA的价格不断降低，从而FPGA成为多路车牌识别系统的理想选择。此外，FPGA还拥有的大量并行资源，利用一片FPGA可以并行完成多路车牌识别系统，相比于需要多个并行处理机并行实现而言，FPGA提高了系统效率，节约了成本，因此，本文提出了基于FPGA的车牌字符分割算法的设计与实现。其中字符分割系统主要包括：Sobel边缘检测、倾斜矫正、上下边界去除及基于模板匹配的字符分割。

关键字：FPGA 倾斜矫正 模板匹配 字符分割

結果 (中文) 2:

With the rapid development of global economy and the increasing people's standard of living, all vehicle number gradually increases, the pressure of city traffic is increasing, the vehicle automatic management is particularly important.Aiming at this problem, the use of Electronic Science and technology to realize safe, high efficient and intelligent traffic system (Intelligent Transport Systems, ITS) becomes the main development direction of traffic management.
due to FPGA parallel characteristics and the rapid development of semiconductor technology to enable FPGA price decreases, thereby becoming a FPGA license plate recognition system ideal.In addition, FPGA also has a large number of parallel resources,Use of a FPGA can be done in parallel multi-channel license plate recognition system, compared to the need for multiple parallel processing parallel implementation, FPGA to improve the system efficiency, cost savings, therefore, this article proposed based on FPGA license plate character segmentation algorithm design and implementation.In which the character segmentation system mainly includes: Sobel edge detection, tilt correction, upper and lower boundary removal and template matching based on character segmentation.Keywords:

FPGA tilt correction template matching character segmentation.