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URN etd-0714104-172933 Statistics This thesis had been viewed 2460 times. Download 1026 times. Author Chen-Shin Huang Author's Email Address No Public. Department Computer Science and Enginerring Year 2004 Semester 2 Degree Master Type of Document Master's Thesis Language English Page Count 57 Title THE APPLICATION OF BACK PROPAGATION MODEL TO DESIGNING A PDA LICENSE PLATE RECOGNITION SYSTEM Keyword Car License Plate Recogni Image Processing PDA PDA Image Processing Car License Plate Recogni Abstract Vehicle license plate recognition systems are expected to have numerous applications in traffic surveillance and monitoring, such as finding stolen cars, controlling access to parking lots and gathering traffic flow information. Any recognition system must take the accuracy and real-time response into account, especially the accuracy. Our proposed license plate recognition system uses PDA as the platform and captures the image directly from the PDA’s plug-in CMOS camera. Then the PDA directly processes the image and responds the recognition result. In general, our system integrates the mobility of user and provides a new type of application for PDA. The three main tasks of a license plate recognition system consist of detecting the license plate in the image, segmenting the license number and identifying the characters. Location and segmentation are extracted by technologies of digital image processing. The identification is done by the back propagation neural network. Experimental results show that our system can effectively recognize most Taiwanese license plates, including 10 numbers and 26 alphabet characters. The recognition rate is 88%. The recognition time takes 3 seconds on PDA and less than 1 second on personal computer. In this thesis, not only the technologies and related models used for recognizing the license plates are clearly described but also the experimental results are given to demonstrate the effectiveness of the proposed model. Advisor Committee Yo-Ping Huang - advisor
none - co-chair
Shyi-Ming Chen - co-chair
Files Date of Defense 2004-06-11 Date of Submission 2004-07-14