Research Article
Dormitory Management System Based on Face Recognition
@INPROCEEDINGS{10.1007/978-3-030-69066-3_31, author={Yu Yang and Liang Ye}, title={Dormitory Management System Based on Face Recognition}, proceedings={Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings}, proceedings_a={AICON}, year={2021}, month={7}, keywords={Face recognition HOG FaceNet MySQL UI}, doi={10.1007/978-3-030-69066-3_31} }- Yu Yang
Liang Ye
Year: 2021
Dormitory Management System Based on Face Recognition
AICON
Springer
DOI: 10.1007/978-3-030-69066-3_31
Abstract
This paper explores the application of face recognition system in dormitory management, and designs an EXE software, which realizes the function of entering and leaving dormitory through face voucher, storing the information of students, and automatically updating relevant data. The face recognition module includes three functions: face image recognition and interception, face alignment, face feature extraction and face verification. The traditional method of HOG is used for recognition and interception, and the method of gray-scale processing and gamma normalization is used for preprocessing to reduce the influence of light. The face alignment uses the 68-point landmarks and similarity transformation to align the face. The face feature extraction uses the pre-trained FaceNet neural network to extract the 128-d feature vector of the face, which is stored in the database or compared with the face in the database to output the Euclidean distance, then compare and find the most possible person according to the distance. The database module includes two functions: storing face information and displaying all information of students MySQL is used to build the database. An automatic dormitory information management system is established through the interconnection interface between MySQL and Python.