Real time face detection and identification from video sequences combining LBP algorithm and convolutional neural network
Zouhair Mbarki, Besma Miladi, Chiraz Ben Jabeur Seddik, Maryem Fadhly, Hassene Seddik · 2022
In this work, we propose an algorithm for face detection and recognition in real time applications. The proposed algorithm combines the local binary pattern (LBP) with the convolutional neural network (CNN) and it is split into two steps: The first step is the face detecting from the video sequence and the second one is the face identification after features extraction operation using the LBP algorithm. These two steps are performed using a convolutional neural network which is a tending type of neural network based on deep learning. Extensive experiments on several test datasets are conducted to evaluate the proposed method. In fact simulation results are very interesting and show the efficiency of the suggested method.