A method to enhance face biometric security

Youngsung Kim, Kar Ann Toh

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

36 Citations (Scopus)


In cancelable biometrics, a template undergoes a random-like transformation process such that it is disposable and a new template for the same identity can be re-generated for new usage. However, existing works do not consider control of verification performance and identity concealment at the same time. In this paper, we propose a method which can boost the verification performance of face biometric via two steps: using an efficient feature extraction transformation, and using an error minimizing template transformation. An extended Random Projection of face data improves the feature extraction efficiency in the first step. A near optimal transformation of the face template is next generated from iterative steps of gradient descent algorithm based on an error rate formulation. For experimentation, we adopted face images from AR and BERC databases where the face images were collected under various external conditions. From these face databases, we show an improved verification performance in terms of test equal error rate (EER), at the same time hiding the face identity based on template transformation. This work contributes to establishment of an algorithm for effective cancelable face template generation as well as verification performance enhancement.

Original languageEnglish
Title of host publicationIEEE Conference on Biometrics
Subtitle of host publicationTheory, Applications and Systems, BTAS'07
Publication statusPublished - 2007
Event1st IEEE International Conference on Biometrics: Theory, Applications, and Systems, BTAS '07 - Crystal City, VA, United States
Duration: 2007 Sept 272007 Sept 29

Publication series

NameIEEE Conference on Biometrics: Theory, Applications and Systems, BTAS'07


Other1st IEEE International Conference on Biometrics: Theory, Applications, and Systems, BTAS '07
Country/TerritoryUnited States
CityCrystal City, VA

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Electrical and Electronic Engineering


Dive into the research topics of 'A method to enhance face biometric security'. Together they form a unique fingerprint.

Cite this