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CCECE 2004-CCGEI 2004, Niagara Falls, May/mai 2004 0-7803-8253-6/04/$17.00 2004 IEEE
 

Summary: CCECE 2004- CCGEI 2004, Niagara Falls, May/mai 2004
0-7803-8253-6/04/$17.00 2004 IEEE
IMAGES CAN BE REGENERATED FROM QUANTIZED
BIOMETRIC MATCH SCORE DATA
Andy Adler
School of Information Technology and Engineering,
University of Ottawa
adler@site.uottawa.ca
Abstract
We address the possibility of regenerating sample
images from stored biometric data, specifically from
automatic face recognition algorithms. Such algorithms
calculate a match score from comparison of a newly
acquired image of a person to a template calculated from
previously captured images. Although several vendors of
biometric algorithms claim that an image of a person
cannot be regenerated from the template, it has been
shown that, in general, such regeneration can be
performed with a "hill climbing attack" (Soutar et al.,
1999). In order to defend against this attack, the BioAPI

  

Source: Adler, Andy - Department of Systems and Computer Engineering, Carleton University

 

Collections: Computer Technologies and Information Sciences