Embedded approach for edge recognition: Case study: Vehicle registration plate recognition

Abstract

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.