Masked Face Recognition Attendance System Using A Modified Convolutional Neural Network

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Jun Jie How
Shing Chiang Tan
Kim Soon Liew


In this paper, a masked face recognition based attendance system is developed by modifying a version of convolutional neural network (CNN). In this regard, a Support Vector Machine is integrated in the CNN to replace its original Softmax classifier to perform the task. The performance of the modified CNN in recognizing masked faces in a 5-fold cross validation was compared that of other CNNs. The experimental results show high effectiveness of the proposed CNN (i.e.  98.92%) in recognizing masked faces for recording attendance.


(Manuscript received: 16 May 2022 | Accepted: 21 June 2022 | Published: 8 July 2022)

Article Details

How to Cite
How, J. J., Tan, S. C., & Liew, K. S. . (2022). Masked Face Recognition Attendance System Using A Modified Convolutional Neural Network. International Journal on Robotics, Automation and Sciences, 4, 23–29.


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