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 designed explicitly for processing image data. The complex networks consist of many levels which are linked with one another in multilayer structures. The researchers also use this information to design more robust neural networks in order to detect the widest possible variety of attack methods. They have developed a demonstrator software package…read more.