Fusion and Privacy in Biometrics
Slides (pdf) Size: 10.6MB Abstract
This lecture will be divided into two parts. The first part of the lecture will focus on biometric fusion while the second part will focus on privacy in the context of biometric systems.
Part 1: Multibiometrics refers to the consolidation of multiple sources of biometric evidence in order to establish the identity of an individual. These sources of information may correspond to different biometric traits (e.g., face + iris), sensors (e.g., 2D + 3D face cameras), feature extraction and matching techniques (e.g., minutiae-based + texture-based fingerprint matchers), or instances (e.g., left and right iris). In this lecture, we will introduce various techniques that have been proposed in the literature to perform information fusion at the data level, feature level, score level, rank level, and decision level. The goal of this lecture is to introduce the audience to various fusion methods and to discuss biometric and forensic applications that benefit from them.
Part 2: By its very definition, biometrics seeks to “recognize" individuals based on their biological attributes. Therefore, the issue of personal privacy is often legitimately raised in the context of biometric systems. We will discuss ways by which privacy can be accorded to stored biometric data. The proposed methods will rely on the principles of visual cryptography, signal mixing and image perturbation to generate biometric templates that can suppress some of the additional information about a person that is present in the biometric data.
Biography
Arun Ross is a Professor in the Department of Computer Science and Engineering at Michigan State University (MSU) and the Director of the i-PRoBe Lab. Prior to joining MSU in 2013, he was a faculty member at West Virginia University (WVU) from 2003 to 2012. He also served as the Assistant Site Director of the NSF Center for Identification Technology and Research (CITeR) between 2010 and 2012. He is the coauthor of the textbook “Introduction to Biometrics” and the monograph “Handbook of Multibiometrics,” and the co-editor of “Handbook of Biometrics”. He is a recipient of the IAPR JK Aggarwal Prize, the IAPR Young Biometrics Investigator Award (YBIA), the NSF CAREER Award, and was an invited speaker at the Frontiers of Science Symposium organized by the National Academy of Sciences in November 2006. Arun served as a panelist at a counter-terrorism event that was organized by the United Nations Counter-Terrorism Committee (CTC) at the UN Headquarters in May 2013. He currently serves as Associate Editor of IEEE Transactions on Circuits and Systems for Video Technology, Senior Area Editor of IEEE Transactions on Image Processing, Area Editor of the Computer Vision and Image Understanding Journal, Associate Editor of the Image and Vision Computing Journal, and Advisor of the IAPR TC4 on Biometrics.
Arun Ross
Michigan State University, US
