電機資訊學院: 資訊工程學研究所指導教授: 傅楸善蔡昀哲Tsai, Yun-CheYun-CheTsai2017-03-032018-07-052017-03-032018-07-052015http://ntur.lib.ntu.edu.tw//handle/246246/275543本論文提出一個人臉辨識的方法以及門禁系統的設置。就人臉辨識而言，我們結合Uniform Local Binary Pattern以及Adaboost達到可接受的辨識率以及執行時間。我們使用幾項簡單的硬體完成門禁系統的設置，此裝置目前正在我們實驗室運作。最後藉由使用水平Sobel算子，我們提出一個簡單的眼睛偵測的方法，來判讀被測試人員是否戴著眼鏡，此方法可以應用在其他方面。A method of face recognition and a door access control system is proposed in this thesis. We combine uniform local binary pattern and Adaboost for face recognition. We achieve acceptable recognition rate and computation time for door access control system. A door control system uses several pieces of simple hardware so that everyone can build the system easily. By using horizontal Sobel operator, a simple eyeglasses detection method is also proposed to judge if tested person wears eyeglass or not. It may apply to other applications.4288693 bytesapplication/pdf論文公開時間: 2015/7/29論文使用權限: 同意有償授權(權利金給回饋學校)臉部辨識眼鏡偵測自適應增強均勻的局部二值模式face recognitioneyeglass detectionAdaboostuniform local binary patternthesishttp://ntur.lib.ntu.edu.tw/bitstream/246246/275543/1/ntu-104-R02922105-1.pdf