An analysis on invertibility of cancelable biometrics based on biohashing

King Hong Cheung, Adams Kong, Jia You, Dapeng Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

23 Citations (Scopus)

Abstract

One of the aims of cancelable biometrics is to protect privacy. In order to protect privacy, cancelable biometrics are preferably to be non-invertible such that no information can be revealed from the cancelable biometrics template, which is stored in databases for personal identification/verification. One way to achieve the non-invertibility is through the use of non-invertible transforms. Recently, some new cancelable biometric approaches are proposed based on BioHashing. Those approaches are utilizing non-invertible transforms to achieve cancelable biometrics and thus non-invertibility is also attained. It is revealed that, however, if cancelable biometric templates are compromised and information about the transformation is uncovered, the process is "invertible" to the extent that the matcher may be fooled.
Original languageEnglish
Title of host publicationProceedings of the 2005 International Conference on Imaging Science, Systems, and Technology
Subtitle of host publicationComputer Graphics, CISST'05
Pages40-45
Number of pages6
Publication statusPublished - 1 Dec 2005
Event2005 International Conference on Imaging Science, Systems, and Technology: Computer Graphics, CISST'05 - Las Vegas, NV, United States
Duration: 27 Jun 200530 Jun 2005

Conference

Conference2005 International Conference on Imaging Science, Systems, and Technology: Computer Graphics, CISST'05
CountryUnited States
CityLas Vegas, NV
Period27/06/0530/06/05

Keywords

  • BioHashing
  • Cancelable biometrics
  • Insider attack
  • Privacy
  • Security
  • Verification

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

Cite this