基于LBP算法的人脸识别校园签到系统

Face recognition campus check-in system based on LBP algorithm

中小学生的安全防护意识和安全防护能力不够强,遇到安全问题措手不及。为建和谐平安校园,文章在传统人脸识别算法的基础上,提出分块LBP算法的思想,对人脸识别算法进行了应用优化设计,将局部的特征值进行全面提取和分析,提高了局部分析的准确度,增强了识别效果。采用人脸识别签到系统对进出校园的人员进行身份识别,可以有效阻止外来人员进入校园,确保师生的人身安全。

Primary and middle school students belong to a vulnerable group,and their safety pratection awareness and safety protection ability are not strang enough,and they are caught off guard when they encounter safety problems.In order to build a harmonious and safe campus,this paper proposes the idea of block LBP algorithm on the basis of traditional face recognition algorithm,carries out the application optimization design of face recognition algorithm,and comprehensively extracts and analyzes local eigenvalues.which improves the efficiency of face recognition.The accuracy of local analysis can greatly enhance the recognition effect.The face recognition sign-in system is used to identify the people entering and leaving the campus,which can effectively prevent outsiders from entering the campus and ensure the personal safety of teachers and students.