边缘识别的嵌入式方法:案例研究:车牌识别

Safa Issaoui, Ridha Ejbeli, T. Frikha, Mohamed Abid
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引用次数: 8

摘要

多媒体嵌入式应用的开发不断增加。例如,图像识别的应用不仅局限于pc机,而且还应用于嵌入式系统,如人脸识别、纹理检测和边缘检测。在本文中,我们将提出一种基于自适应方法的硬件架构。为了验证这种结构,选择了一种边缘检测方法。为了说明所提出的方法,提出了车牌识别。后一个应用程序通过软件实现进行了第一次测试。第二次,我们采用了基于混合软硬件体系结构的协同设计技术。所使用的实现平台是Xilinx ML 507 FPGA平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Embedded approach for edge recognition: Case study: Vehicle registration plate recognition
The development of multimedia embedded applications continues to increase. As an example, image recognition applications are not only developed for the PCs but also for the embedded systems such as the face recognition, the texture detection and the edge detection. In this paper, we will present a hardware architecture based on an adaptation approach. To validate this architecture, an edge detection approach is chosen. To illustrate the proposed approach, vehicle registration plate recognition is proposed. The latter application was tested in a first time by a software implementation. n a second time, we use the co design technique based on a mixed Hardware Software architecture. The used platform for the implementation is the Xilinx ML 507 FPGA platform.
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