| Summary: | 碩士 === 國立臺北科技大學 === 電機工程系所 === 93 === In this thesis, the license plate locating automatically system is researched and implemented on complex background image. The technology of moving vehicular license plate locating (MVLPL) and license plate recognition (LPR) for vehicular will integrate into the vehicular locating and monitoring (VLM) system. The VLM system is active and can be employed on the intelligent surveillance system for the running vehicle.
In the moving object tracking system, four steps are employed. At first, the pre-processing on the input image is performed. Secondly, the vertical and horizontal projection of the image is accumulated. Thirdly, the image difference is completed. The simple algorithm is employed to detect the edge of moving objects obviously. Finally, using the mixing algorithm to demarcate boundaries of moving objects. The results of the experiments show that the performance of the moving objects tracking rate is 97.2%.
In the license plate location system, because of the vehicular image have black and white characteristics focus on the license plate. We bring new algorithm like 3x3 blocks algorithm、crossing analysis、density analysis、project division and else. The results of the experiments show that the performance of the moving license plate locating rate is 91.4%. So the system could combine all of the monitoring systems on road and detect the license plate of running vehicular.
|
|---|
