Multiple Biometric Grand Challenge
Over the last decade, numerous government and industry organizations have or are moving toward deploying automated biometric technologies to provide increased security for their systems and facilities. Six U.S. Government organizations recently sponsored the Face Recognition Grand Challenge (FRGC) , Face Recognition Vendor Test (FRVT) 2006 and the Iris Challenge Evaluation (ICE) 2006. 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. However, further advances in these technologies are needed to meet the full range of operational requirements. Many of these requirements focus on biometric samples taken under less than ideal conditions, for example: Low quality still images High and low quality video imagery Face and iris images taken under varying illumination conditions Off-angle or occluded images Building on the challenge problem and evaluation paradigm of FRGC, FRVT 2006, ICE 2005 and ICE 2006, the Multiple Biometric Grand Challenge (MBGC) will address these problem areas.
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 MBGC seeks to reach this goal through several technology development areas:
The MBGC will consist of a set of challenge problems designed to advance the current state of technology and conclude with a planned independent evaluation. Challenge problems will focus on three major areas:
These challenge problems will allow for fusion of face and iris at both the score level and the image level. Challenge problems will be defined more in-depth at the project's kick-off workshop.
Researcher Participation in the MBGC
The Multiple Biometric Grand Challenge (MBGC) project has officially ended, however, researchers can still obtain MBGC data for experimentation in their organization. Data and software licenses will need to be signed by legal authorities who are approved to sign licenses on behalf of your organization.
If you are interested in obtaining the MBGC data set, please contact the MBGC Liaison at email@example.com. The request must come from a full-time employee or faculty member of your organization/university.
Please include the following information in your request:
Organization Point of Contact (POC) Name:
POC Job Title:
POC Postal Address:
POC Organizational Email Address:
P. Jonathon Phillips firstname.lastname@example.org