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http://dx.doi.org/10.6109/jkiice.2021.25.9.1152

Face Recognition Using Automatic Face Enrollment and Update for Access Control in Apartment Building Entrance  

Lee, Seung Ho (Department of Future Technology, Korea University of Technology and Education)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.25, no.9, 2021 , pp. 1152-1157 More about this Journal
Abstract
This paper proposes a face recognition method for access control of apartment building. Different from most existing face recognition methods, the proposed one does not require any manual process for face enrollment. When a person is exiting through the main entrance door, his/her face data (i.e., face image and face feature) are automatically extracted from the captured video and registered in the database. When the person needs to enter the building again, the face data are extracted and the corresponding face feature is compared with the face features registered in the database. If a matching person exists, the entrance door opens and his/her access is allowed. The face data of the matching person are immediately deleted and the database has the latest face data of outgoing person. Thus, a higher recognition accuracy could be expected. To verify the feasibility of the proposed method, Python based face recognition has been implemented and the cloud service provided by a web portal.
Keywords
Access control; Face recognition; Face enrollment; Face detection;
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