Office Entrance Control with Face Recognition
Date Issued
2015
Date
2015
Author(s)
Tsai, Yun-Che
Abstract
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.
Subjects
face recognition
eyeglass detection
Adaboost
uniform local binary pattern
Type
thesis
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ntu-104-R02922105-1.pdf
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