Office Entrance Control with Face Recognition
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 103 === 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 do...
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| Format: | Others |
| Language: | en_US |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/01025047383947480142 |
| Summary: | 碩士 === 國立臺灣大學 === 資訊工程學研究所 === 103 === 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.
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