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This work is licensed under a Creative Commons Attribution 4.0 International License.
Smart Attendance using Face Recognition with Percentage Analyzer
JYOTSHANA KANTI, ANUBHOOTI PAPOLA Master of Technology, Computer Science & Engineering, Uttarakhand Technical University, Dehradun, India Assistant Professor, Computer Science & Engineering, Uttarakhand Technical University, Dehradun, India
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Abstract: Smart Attendance system is a smart way of marking attendance. It replaces the old hectic and time consuming methods of marking attendance by a smart way which makes use of face recognition technique for marking attendance. In our work we have introduced a new method which uses PCA with Artificial Neural Network for the purpose of face recognition in Attendance management. Additional to it we also introduce a function which will analyze the percentage of attendance for a student and help him manage his leaves.
Keywords: Face recognition, Feature extraction, Principal component Analysis (PCA), Artificial Neural networks (ANN), Back propagation algorithm.
Keywords: Face recognition, Feature extraction, Principal component Analysis (PCA), Artificial Neural networks (ANN), Back propagation algorithm.
How to Cite:
[1] JYOTSHANA KANTI, ANUBHOOTI PAPOLA Master of Technology, Computer Science & Engineering, Uttarakhand Technical University, Dehradun, India Assistant Professor, Computer Science & Engineering, Uttarakhand Technical University, Dehradun, India, βSmart Attendance using Face Recognition with Percentage Analyzer,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.