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@article{151654,
        author = {Trushna Raut and Shriya Kulkarni and Mahesh Hatwar and Shubham Waratkar},
        title = {REAL TIME STUDENT ATTENDANCE SYSTEM USING FACE RECOGNITION},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {1},
        pages = {473-477},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151654},
        abstract = {In this we propose an automated smart attendance system. This  attendance system is based on face detection and recognition algorithms which  automatically detects the students when he/she enters the class room and marks the attendance by recognizing him/her. The system architecture and algorithms techniques used in each stage are described in this project. Different scenarios based on real time instances  are considered to evaluate the performance of various face recognition systems. This project also proposes the techniques to be used in order to handle the threats like spoofing and reducing proxy. When compared to traditional attendance marking this system saves time and is efficient.},
        keywords = {Attendance Management, Attendance System,Face Capturing,Face recognition,Local Binary Pattern Histogram,LBPH,Machine Learning.},
        month = {},
        }