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      On Hunting Animals of the Biometric Menagerie for Online Signature

      1 , * , 2

      PLoS ONE

      Public Library of Science

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          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.

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          Author and article information

          Contributors
          Role: Editor
          Journal
          PLoS One
          PLoS ONE
          plos
          plosone
          PLoS ONE
          Public Library of Science (San Francisco, CA USA )
          1932-6203
          7 April 2016
          2016
          : 11
          : 4
          Affiliations
          [1 ]Télécom SudParis, Université Paris-Saclay, 9 rue Charles Fourier 91011 EVRY Cedex, France
          [2 ]SAMOVAR, Télécom SudParis, CNRS, Université Paris-Saclay, 9 rue Charles Fourier 91011 EVRY Cedex, France
          Nankai University, CHINA
          Author notes

          Competing Interests: The authors have declared that no competing interests exist.

          Conceived and designed the experiments: NH. Performed the experiments: NH. Analyzed the data: NH. Contributed reagents/materials/analysis tools: NH SG. Wrote the paper: NH SG.

          Article
          PONE-D-15-40972
          10.1371/journal.pone.0151691
          4824397
          27054836
          © 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.

          Page count
          Figures: 19, Tables: 0, Pages: 26
          Product
          Funding
          The authors have no support or funding to report.
          Categories
          Research Article
          Physical Sciences
          Physics
          Thermodynamics
          Entropy
          Research and Analysis Methods
          Computational Techniques
          Biometrics
          Biology and Life Sciences
          Agriculture
          Livestock
          Sheep
          Biology and Life Sciences
          Organisms
          Animals
          Vertebrates
          Amniotes
          Mammals
          Ruminants
          Sheep
          Biology and Life Sciences
          Organisms
          Animals
          Vertebrates
          Amniotes
          Mammals
          Ruminants
          Goats
          Biology and Life Sciences
          Agriculture
          Animal Management
          Animal Performance
          Biology and Life Sciences
          Behavior
          Animal Behavior
          Imitation
          Biology and Life Sciences
          Zoology
          Animal Behavior
          Imitation
          Biology and Life Sciences
          Organisms
          Animals
          Vertebrates
          Amniotes
          Mammals
          Wolves
          Biology and Life Sciences
          Behavior
          Animal Behavior
          Biology and Life Sciences
          Zoology
          Animal Behavior
          Custom metadata
          Data are from Professor Javier Ortega at Universidad Autonoma de Madrid, Spain. Future researchers interested by this data must contact Professor Javier Ortega at the following address: javier.ortega@ 123456uam.es and Julian Fierrez at the following address: julian.fierrez@ 123456uam.es , in order to retrieve and sign a "Non Disclosure Agreement" (NDA), as we did.

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