Multiple Biometric Grand Challenge

Its primary goal is to improve performance of face and iris recognition technology on both still and video imagery with a series of challenge problems and evaluation.

Results from the FRGC and FRVT 2006 documented two orders of magnitude improvement in the performance of face recognition under full-frontal, controlled conditions over the last 14 years.

For the first time, ICE 2006 provided an independent assessment of multiple iris recognition algorithms on the same data set.

The primary goal of the MBGC is to investigate, test and improve performance of face and iris recognition technology on both still and video imagery through a series of challenge problems and evaluation.

The data sets are then released to participating organizations who develop their algorithms and submit self reported results back to the Challenge Team in the form of similarity matrices.

The purpose of the MBE is to conduct an independent evaluation of the MBGC submissions on large sequestered data sets.

This article incorporates public domain material from NIST Multiple Biometric Grand Challenge.