Login

Bologna Online Evaluation Platform (BOEP) - Morph Attack Detection Evaluation

BOEP is a fully automated web-based evaluation system hosted in the FVC-onGoing framework specifically designed to evaluate Morph Attack Detection (MAD) algorithms. It has been designed and developed in the context of the SOTAMD European project and it is supported by EU funded project iMars.

Benchmark Areas

BOEP contais the following benchmark areas:

Single-image Morph Attack Detection
This benchmark area contains face morphing detection benchmarks. Morphing detection consists in analyzing a face image to determine whether it is the result of a morphing process (mixing faces of two subjects) or not. Algorithms submitted to these benchmarks are required to analyze a suspected morph image and produce a score representing the probability of the image to be morphed. Read more...
Differential Morph Attack Detection
This benchmark area contains face morphing detection benchmarks. Morphing detection consists in analyzing a face image to determine whether it is the result of a morphing process (mixing faces of two subjects) or not. Algorithms submitted to these benchmarks are required to compare a suspected morph image to a bona fide (not morphed) one and produce a score representing the probability of the suspected morph image to be a morphed face image. Read more...
For information or suggestions: fvcongoing@csr.unibo.it Copyright © 2022 Biometric System Laboratory