Design and analysis of fuzzy extractors for faces

Yagiz Sutcu, Qiming Li, Nasir Memon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

It is both crucial and challenging to protect biometric data used for biometric identification and authentication systems, while keeping the systems user friendly. We study the design and analysis of biometric data protection schemes based on fuzzy extractors. There are limitations in previous fuzzy extractors, which make them difficult to handle continuous feature spaces, entropy estimation, and feature selection. We proposed a scheme based on PCA features and a recently proposed fuzzy extractor for continuous domains. We conduct experiments using the ORL face database, and analyze carefully the entropies and the resulting security of the system. We explore and compare different ways to select and combine features, and show that randomization plays an important role in both security, performance and cancelability. Furthermore, proposed feature selection does yield better estimation of the final key strength. Keywords: Biometrics, security, template protection, entropy analysis.

Original languageEnglish (US)
Title of host publicationOptics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI
DOIs
StatePublished - 2009
EventOptics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI - Orlando, FL, United States
Duration: Apr 13 2009Apr 16 2009

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7306
ISSN (Print)0277-786X

Other

OtherOptics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI
CountryUnited States
CityOrlando, FL
Period4/13/094/16/09

Keywords

  • Biometrics
  • Entropy analysis
  • Security
  • Template protection

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Sutcu, Y., Li, Q., & Memon, N. (2009). Design and analysis of fuzzy extractors for faces. In Optics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI [73061X] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7306). https://doi.org/10.1117/12.820571