Researchers at the USC Information Sciences Institute (ISI) in California have recently carried out a study investigating whether completing obstructed faces using artificial neural networks (ANN) can improve the accuracy of face recognition tools. Their study originated from the IARPA Odin research project, which is aimed at identifying true and false faces in images, ultimately to enhance the performance of biometric authentication tools.
* This article was originally published here
