Template security refers to techniques which allow regeneration of enrolled images from templates. Such image regeneration poses a security and privacy vulnerability because the images may be used to spoof or masquerade as the enrolled individual. Image regeneration is of two types. The first relies on decoding the features in the template and estimating a biometrically reasonable image with the appropriate features. Results have been published for fingerprint templates, but such algorithms are easily implemented for face and iris recognition. The second type of image regeneration uses the ability to compare images against the target and obtain the match score to perform hill climbing to iteratively improve an image estimate. Appropriate biometric template security measures requires strong encryption of all biometric data, including templates and match results.
A. Adler, R. Cappelli (2009). Template Security. NEW YORK : Springer.
Template Security
CAPPELLI, RAFFAELE
2009
Abstract
Template security refers to techniques which allow regeneration of enrolled images from templates. Such image regeneration poses a security and privacy vulnerability because the images may be used to spoof or masquerade as the enrolled individual. Image regeneration is of two types. The first relies on decoding the features in the template and estimating a biometrically reasonable image with the appropriate features. Results have been published for fingerprint templates, but such algorithms are easily implemented for face and iris recognition. The second type of image regeneration uses the ability to compare images against the target and obtain the match score to perform hill climbing to iteratively improve an image estimate. Appropriate biometric template security measures requires strong encryption of all biometric data, including templates and match results.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
