title: On Hunting Animals of the Biometric Menagerie for Online Signature.
abstract: 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.
authors.affiliation: Télécom SudParis, Université Paris-Saclay, 9 rue Charles Fourier 91011 EVRY Cedex, France.
authors.forename: Nesma
authors.initials: N
authors.lastname: Houmani
authors.affiliation: SAMOVAR, Télécom SudParis, CNRS, Université Paris-Saclay, 9 rue Charles Fourier 91011 EVRY Cedex, France.
authors.forename: Sonia
authors.initials: S
authors.lastname: Garcia-Salicetti
mesh_terms: D000465:Algorithms; D000818:Animals; D000835:Animals, Wild; D056667:Biometric Identification / Q000379:methods*; D001330:Electronic Data Processing; D006236:Handwriting; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D009862:Online Systems; D010363:Pattern Recognition, Automated / Q000379:methods*; D011932:Reading