Vehicle License Plate Recognition System Based on Digital Signal Processor
Dr. Yon-Ping Chen
|Keywords:||嵌入式車牌辨識系統;數位訊號處理器 TMSC6701 教育訓練實驗板;低解析度的影像;embedded vehicle license plate recognition system;DSP TMSC320C6701 EVM board;poor-quality images|
因此，本篇論文的目的便在於驗證嵌入式車牌辨識系統的可行性與潛力。透過將車牌辨識的演算法則以及車輛影像放入DSP TMSC6701 實驗板的方式，經過重複的實驗得知，其辨識率約為95%，辨識時間為0.95秒。證明了在未來，嵌入式的車牌辨識系統是具有發展潛力與可行性的。|
Vehicle license plate recognition system becomes the key to many traffic related applications. Several systems have been applied practically, such as for managing a private parking lot, highways, and monitoring vehicle entry and exit at a factory. However, most of vehicle license plate recognition systems are developed based on PC because the algorithms to recognize license plate is complex and need a number of mathematical operations. Images containing the vehicle are acquired by the sensor like machine vision, and transferred to the image processor through the communication network between them. It is obvious that getting reliable recognition results from poor-quality images mainly caused by restriction on the provision of the efficiency and correctness is difficult especially for the system to identify license plate. Since scrapping existing road-vehicle systems and building new transportation systems from scratch are not practical, there is potential for combining the system to identify the license plate with the sensor capturing the image containing the vehicle. The object of this paper is to verify the potential and practicability of embedded vehicle license plate recognition system. It is to recognize license plate based on DSP TMSC320C6701 EVM board. And the image includes a car is loaded into the memory on the board. As experiment results present, the recognition rate efficiency reach up to 95% and the recognition time is 0.95 second. It conforms that embedded vehicle license plate recognition system has potential and is practicable in the future.
|Appears in Collections:||Thesis|