臺灣博碩士論文加值系統

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。

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.

摘 要 I
ABSTRACT II
誌 謝 III
目錄 IV
表目錄 VI
圖目錄 VII
第一章 緒論 1
1.1 研究動機 1
1.2 研究目的 1
第二章 偵測與識別技術 2
2.1 ADA-BOOSTING介紹 2
2.2 偵測方法 4
2.2.1 特徵 4
2.2.2 樣本 4
2.2.3 串聯運算 6
2.2.4 積分影像 7
2.2.5 偵測 8
2.2.6 區域整合 9
2.3 識別方法 9
2.3.1 字元切割 9
2.3.2 資料庫比對 10
第三章 硬體開發板 12
3.1 開發平台介紹 12
3.2 硬體 13
3.2.1 DSP 13
3.2.2 MEMORY 14
3.2.3 DMA 17
3.2.4 VIDEO 19
3.3 軟體 23
3.3.1 SOFTWARE 23
3.3.2 LINKER 25
3.3.3 LOADER 29
3.4 最佳化 31
第四章 實作 34
4.1 實驗步驟 34
4.1.1 開發平台 34
4.1.2 開發流程 35
4.1.3 開發方法 40
4.2 實驗結果 42
第五章 結論 59
參考文獻 60

[1]Paul Viola, Michael Jones, “Robust Real-Time Face Detection,” International Journal of Computer Vision, 2004.
[2]P. Viola and M. Jones, “Robust Real-time Object Detection,” IEEE ICCV Workshop on statistical and Computational Theories of Vision, 2001.
[3]C. Papageorgiou, M. Oren, and T. Poggio, “A general framework for object detection,” ICCV, 1998.
[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.
[6]ANALOG DEVIE, “ADSP-BF561 EZ-KIT Lite Evaluation System Manual,” ANALOG DEICE, April 2006.
[7]ANALOG DEVICE, “ADSP-BF561 Blackfin Processor Hardware Reference,” ANALOG DEVICE, July 2005.
[8]ANALOG DEVICE, “Getting Started With Blackfin Processor,” ANALOG DEVICE, September 2005.
[9]ANALOG DEVICE, “ADSP-BF53x/BF56x Blackfin Processor Programming Reference,” ANALOG DEVICE, February 2006.
[10]ANALOG DEVICE, “VisualDSP++ 4.5 Device Drivers and System Services Manual for Blackfin Processor,” ANALOG DEVICE, April 2006.
[11]ANALOG DEVICE, “VisualDSP++ 4.5 Assembler and Preprocessor Manual,” ANALOG DEVICE, April 2006.
[12]ANALOG DEVICE, “VisualDSP++ 4.5 C/C++ Compiler and Library Manual for Blackfin Processors,” ANALOG DEVICE, April 2006.
[13]ANALOG DEVICE, “VisualDSP++ 4.5 Getting Started Guide,” ANALOG DEVICE, April 2006.
[14]ANALOG DEVICE, “VisualDSP++ 4.5 Linker and Utilities Manual,” ANALOG DEVICE, April 2006.
[15]ANALOG DEVICE, “VisualDSP+ 4.5 Loader and Utilities Manual,” ANALOG DEVICE, April 2006.
[16]ANALOG DEVICE, “VisualDSP++ 4.5 Product Release Bulletin,” ANALOG DEVICE, April 2006.
[17]ANALOG DEVICE, “VisualDSP++ 4.5 User Guide,” ANALOG DEVICE, April 2006.
[18]ANALOG DEVICE, “VisualDSP++ 4.5 Kernel (VDK) User’s Guide,” ANALOG DEVICE, April 2006.
[19]ANALOG DEVICE, “Interfacing the ADSP-BF535/ADSP-BD533 Blackfin Processor to NTSC/PAL video decoder over the asynchronous port,” ANALOG DEVICE, September 1, 2003.
[20]ANALOG DEVICE, “Booting the ADSP-BF561 Blackfin Processor,” ANALOG DEVICE, May 15, 2007.
[21]ANALOG DEVICE, “Tuning C Source Code for the Blackfin Processor Compiler,” ANALOG DEVICE, May 26, 2003.
[22]ANALOG DEVICE, “Video Framework Considerations for Image Processing on Blackfin Processors,” ANALOG DEVICE, September 8, 2005.
[23]ANALOG DEVICE, “System Optimization Techniques for Blackfin Processors,” ANALOG DEVICE, July 10, 2007.
[24]ANALOG DEVICE, “Video Templates for Developing Multimedia Applications on Blackfin Processors,” ANALOG DEVICE, September 28, 2006.
[25]ANALOG DEVICE, “Using Cache Memory on Blackfin Processors,” ANALOG DEVICE, June 13, 2005.