期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：252
期号：3
页码：1-7
DOI：10.1088/1755-1315/252/3/032145
出版社：IOP Publishing
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.
