Preventing manipulation in automated face recognition

Fraunhofer Research  October 1, 2019 In morphing processes two facial images are melded into a single synthetic facial image that contains the characteristics of both persons. As a result, biometric face recognition systems authenticate the identity of both persons based on this manipulated photo. Morphing attacks can take place before or during the process of applying for an ID document. To address this problem researchers in Germany are developing a process that identifies the image anomalies that occur during digital image processing focusing on analyzing and researching simulated imaging data using image processing, machine learning methods, and deep neural networks […]