Convolutional Neural Network-Based Periocular Recognition in Surveillance Environments
Convolutional Neural Network-Based Periocular Recognition in Surveillance Environments is a scholarly work, published in 2018 in ''IEEE Access''. The main subjects of the publication include convolutional neural network, artificial intelligence, identification, computer vision, facial recognition system, Multiple object tracking, biometrics, pattern recognition, and computer science. It was also found to perform better than conventional techniques in face recognition when an occlusion is present.