TY - JOUR
T1 - On hunting animals of the biometric menagerie for online signature
AU - Houmani, Nesma
AU - Garcia-Salicetti, Sonia
N1 - Publisher Copyright:
©2016 Houmani, Garcia-Salicetti.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2016/4/1
Y1 - 2016/4/1
N2 - Individuals behave differently regarding to biometric authentication systems. This fact was formalized in the literature by the concept of Biometric Menagerie, defining and labeling user groups with animal names in order to reflect their characteristics with respect to biometric systems. This concept was illustrated for face, fingerprint, iris, and speech modalities. The present study extends the Biometric Menagerie to online signatures, by proposing a novel methodology that ties specific quality measures for signatures to categories of the Biometric Menagerie. Such measures are combined for retrieving automatically writer categories of the extended version of the Biometric Menagerie. Performance analysis with different types of classifiers shows the pertinence of our approach on the well-known MCYT-100 database.
AB - Individuals behave differently regarding to biometric authentication systems. This fact was formalized in the literature by the concept of Biometric Menagerie, defining and labeling user groups with animal names in order to reflect their characteristics with respect to biometric systems. This concept was illustrated for face, fingerprint, iris, and speech modalities. The present study extends the Biometric Menagerie to online signatures, by proposing a novel methodology that ties specific quality measures for signatures to categories of the Biometric Menagerie. Such measures are combined for retrieving automatically writer categories of the extended version of the Biometric Menagerie. Performance analysis with different types of classifiers shows the pertinence of our approach on the well-known MCYT-100 database.
U2 - 10.1371/journal.pone.0151691
DO - 10.1371/journal.pone.0151691
M3 - Article
C2 - 27054836
AN - SCOPUS:84963748339
SN - 1932-6203
VL - 11
JO - PLoS ONE
JF - PLoS ONE
IS - 4
M1 - e0151691
ER -