An extensive set of experimental tests has to be performed to
assess the effectiveness of a non-invertible transform-based biometric protection
scheme. Specifically, the verification performances achievable with the
proposed systems are discussed in Section V.A. Moreover, a renewability
analysis is conducted in Section V.B.
The tests are conducted using the public version of the MCYT
on-line signature corpus which comprises 100 users, for each of which 25
genuine signatures and 25 skilled forgeries have been captured during five
different sessions. Forgers were asked to perform the imitations after
observing the static images of the signatures to copy, having tried to mimic
them at least 10 times, and by then writing the forgeries naturally without
breaks or slowdowns. Specifically, the employed database is split into a
training data set, comprising the first 30 users of the public MCYT database,
and a test data set, comprising the remaining 70 users. The experimental
results reported in the following, regarding both the recognition.
In this work an on-line signature-based biometric recognition system, where the original
signature templates are transformed in a non-invertible way in order to provide
protection and renewability, while guaranteeing verification performances
similar to those of unprotected systems, has been proposed. Specifically, a
baseline transform based on the use of convolutions, together with two extended
versions of the baseline method, have been presented.
Different kinds of template matching have been proposed and
applied to the considered scenario, by exploiting the properties of HMM; DTW
and score level fusion techniques.
Several experimental tests, evaluated on the public MCYT signature
database, have been performed to evaluate the effectiveness of the proposed
approach, in terms of both recognition performances and renewability.
Specifically, it has been observed that.
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