Convolutional neural network approach for vision based student recognition system
Nusrat Mubin Ara, Nishikanto Sarkar Simul, Md. Saiful Islam · 2017
Computers are now too smart to interact with the human in different approaches. This interaction will be more acceptable for both human and computer if it is based on recognition process. In this article, author's concern is to integrate and develop a student recognition system using existing algorithms. Among various face recognition methods, here author use deep learning based face recognition method. This method uses Convolutional Neural Networks (CNN) to generate a low dimensional representation called embeddings. Then those embeddings are used to classify the person's facial image. By this system different types of applications like student attendance-system, building security etc. can be developed. After building the system, a resultant performance is also showed in this article.