基於人臉辨識實現辦公室入口管制

Office Entrance Control with Face Recognition

蔡昀哲(Yun-Che Tsai)

指導教授 ： 傅楸善

國立臺灣大學/電機資訊學院/資訊工程學研究所/碩士(2015年)

https://doi.org/10.6342/NTU.2015.01051

摘要

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。

關鍵字

臉部辨識 ； 眼鏡偵測 ； 自適應增強 ； 均勻的局部二值模式

並列摘要

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.

並列關鍵字

face recognition ； eyeglass detection ； Adaboost ； uniform local binary pattern

參考文獻

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