DISGUISED FACIAL RECOGNITION USING NEURAL NETWORKS - A SURVEY

Face recognition software is being used more often in a wide range of applications, but worries about privacy and exploitation have sparked interest creating methods for "disguised" face identification. The use neural networks disguised identification has recently attracted the attention academics, who trained their algorithms on pictures people with masks, hats, other facial coverings. Yet, there are number difficulties efficient systems, such as lack training data requirement to take different lighting position changes into consideration. adversarial networks, infrared imaging, deep learning techniques among latest advancements field masked using that examined this review. study also covers prospective uses concealed technology well moral issues surrounding its implementation. survey's findings show may be mask order satisfy concerns while still enabling accurate scenarios. Keywords — Disguised Facial Recognition, Neural Networks, Machine Learning, Deep Adversarial Networks.