On Hunting Animals of the Biometric Menagerie for Online Signature

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 concep...

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Bibliographic Details
Published in:PloS one 2016-04, Vol.11 (4), p.e0151691-e0151691
Main Authors: Houmani, Nesma, Garcia-Salicetti, Sonia
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Animals
Animals, Wild
Automatic Data Processing
Biology and Life Sciences
Biometric Identification - methods
Biometrics
Biometry
Control
Data mining
Digital signatures
Engineering Sciences
Entropy
Forgery
Handwriting
Humans
Hunting
Image Interpretation, Computer-Assisted - methods
Internet
Online Systems
Pattern Recognition, Automated - methods
Physical Sciences
Reading
Research and Analysis Methods
Sheep
Signal and Image processing
Signal processing
Speech
Speeches
User groups
Writers
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Summary: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.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0151691