車牌偵測與辨識之嵌入系統實現

Implementation of License Plate Detection and Recognition in Embedded System

何立功(Li-Kung Ho)

指導教授 ： 謝君偉

元智大學/電機通訊學院/電機工程學系/碩士(2008年)

摘要

本論文研製之影像車牌偵測與辨識系統是開發於硬體系統平台上。有鑒於目前影像處理技術大多在個人電腦平台上的發展。無法使系統小型化、輕便化以及節省成本。不論是現在或是將來會有越來越多的產品朝向嵌入式系統發展。其目的就是使系統簡單並縮小體積。所以本研究選用以DSP處理器的硬體平台來實現車牌偵測與辨識的系統開發。
車牌偵測與辨識原理是：系統先將影像擷取，影像經過前置處理後，再利用Ada-Boosting技術來偵測車牌位置，然後將區塊內的車牌字元與資料庫進行相似度比較，比對結果越接近則為車牌字元，最後將影像經過後置處理後，再輸出到顯示裝置。

關鍵字

車牌偵測 ； 辨識 ； 嵌入式系統

並列摘要

A procedure is using Ada-Boosting technique for license plate detection and recognition to develop on hardware platform. According to recent techniques of video processing are almost developed on PC platform, it is heavy, costly, and no space to reduce size of system.
However, there are coming more and more embedded systems which are best and best in the future. The goal is making system faster, smaller and cheaper. Our purpose is to develop a license plate system on car and implement it on DSP based hardware system.
The principle of our system is made up by follow steps, i.e., capture video, pre-processing image, detection, recognition, post-processing image, and deliver video.

並列關鍵字

License Plate Detection ； Recognition ； Embedded system

參考文獻

[1] Paul Viola, Michael Jones, “Robust Real-Time Face Detection,” International Journal of Computer Vision, 2004.

[3] C. Papageorgiou, M. Oren, and T. Poggio, “A general framework for object detection,” ICCV, 1998.

[2] P. Viola and M. Jones, “Robust Real-time Object Detection,” IEEE ICCV Workshop on statistical and Computational Theories of Vision, 2001.

[4] ANALOG DEVICE, “Blackfin Embedded Symmetric Multiprocessor,” ANALOG DEVICE, January 2005.

[5] ANALOG DEVICE, “HPUSB, USB, HPPCO and MSP430 Emulators Users Guide,” ANALOG DEVICE, January 2005.