Batch Attendance System Based on Face Recognition

2018 4th International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Shen, Haifu^1 ; Wang, Xueting^1 ; Zhang, Xinyu^2

Department State Grid ShanDong Electronic Power Company, JiNan, China^1

Human Resources Department, State Grid TaiAn Electronic Power Company, TaiAn, China^2

关键词: Attendance systems;    Biological characteristic;    Biometric identification technologies;    Characteristic extraction;    Electric power enterprise;    Face recognition technologies;    Identity recognition;    Mobile operating systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/252/3/032145/pdf
DOI  :  10.1088/1755-1315/252/3/032145

来源: IOP

【 摘 要 】

Biometric identification technology has been adopted to develop batch attendance system of electric power enterprises in this paper. The face is a typical biological characteristic, which can be adopted to promote the identity recognition efficiency without any touch. The face recognition technology includes three processes: face detection, face learning, and face recognition. The system has been deployed in Android platform, which has the highest market share of mobile operating system. The principal component analysis (PCA) has been adopted as the characteristic extraction method, and Java CV as the visual processing library. The experiment results show that the system achieves the higher accuracy with the more input photos and the fewer people in the photo, which helps the electric power enterprises to finish the staff attendance management.