FVC-onGoing, a web-based automated evaluation system developed to evaluate biometric algorithms, has launched a new benchmark area aimed at analysing the effects of image morphing on face recognition accuracy. In the new benchmark, the robustness against morphing alterations is evaluated by comparing morphed images against other images of the subjects used for the morphing. Algorithms submitted to FMC benchmark area are required to compare face images to determine whether they belong to the same subject or not (one-to-one comparisons).The area has been created because in scenarios where a user template is created from printed photos rather than from images acquired live during enrollment (e.g., identity documents), digital image alterations can severely affect the recognition results of a face recognition system.In particular, with the widespread adoption of Automated Border Control systems (ABC), image morphing alteration (obtained by digitally mixing face images of two subjects) can cause an increment of the false acceptance rate and consequently of the possibility that a criminal succeeds to bypass border controls.
‘Face-morphing’ added to biometric algorithm evaluation system
