| Summary: | 碩士 === 元智大學 === 資訊管理學系 === 97 === In this thesis, we propose an embedded telematics system for driver identification and positioning based on 3G mobile system. Image processing techniques and detection of interest points are used as the basis of recognition for driver identification. The warning messages with GPS information are sent automatically through the 3G mobile phone technologies to overcome the weaknesses of current passive anti-theft technologies. There are four steps in our proposed method. First, the face region are detected and normalized by image preprocessing techniques. Secondly, the interesting points are extracted to represent the facial features. Thirdly, the Hash distance is evaluated according to the extracted interesting points. Finally, the matching results are used to identify the driver’s identity. The identification system proposed in this thesis provides a high-speed and accurate recognition result even in different weather or environments with different lights. There are 430 persons and 4600 images in our simulations. Experimental result shows that the accuracy of the proposed system in this thesis is 91.33%, and it can be used to develop the vehicle-use and household-use active anti-theft technology effectively in the future.
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