摘要
目前,高校晨跑考勤存在耗时耗力、代签和假跑等问题。笔者基于Face++人脸识别技术,实现了对学生人脸信息的识别检测,以及对人脸特征数据的提取和匹配,提供了一种实时、有效的防作弊签到方法,能够有效提高出勤率,希望能够为相关研究提供借鉴。
At present, there are some problems such as time-consuming and labor-consuming, signature and fake running in the morning running attendance of colleges and universities. Based on Face++ face recognition technology, the author realizes the recognition and detection of students'face information and the extraction and matching of facial feature data. It provides a real-time and effective cheat-proof check-in method, which can effectively improve attendance rate, and hopes to provide reference for related research.
作者
张硕
李文超
刘芳钰
Zhang Shuo;Li Wenchao;Liu Fangyu(Liaoning Shihua University,Fushun Liaoning 113001,China)
出处
《信息与电脑》
2019年第17期121-122,125,共3页
Information & Computer
基金
2018年辽宁省大学生创新训练计划项目（项目编号：201810148045）
