A New Gaze Analysis Based Soft-Biometric

  • Chiara Galdi
  • Michele Nappi
  • Daniel Riccio
  • Virginio Cantoni
  • Marco Porta
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7914)


Soft Biometric traits are physical or behavioral human characteristics like skin color, eye color, gait, used by humans to distinguish their peers. However soft biometric characteristics lack in distinctiveness and permanence to identify an individual uniquely and reliably. In this paper a new Gaze Analysis based Soft-biometric (GAS) is investigated. The way an observer looks at a particular subject, was recorded with a remote eye tracker. Feature vectors were built for each observation and used for testing the system as a recognition system. The accuracy of the GAS system was assessed in terms of Receiving Operating Characteristic curves (ROC), Equal Error Rate (EER) and Cumulative Match Curve (CMC), and provided encouraging results.


gaze analysis soft biometrics eye tracking 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Chiara Galdi
    • 1
  • Michele Nappi
    • 1
  • Daniel Riccio
    • 2
  • Virginio Cantoni
    • 3
  • Marco Porta
    • 3
  1. 1.Università degli Studi di SalernoFiscianoItaly
  2. 2.Università degli Studi di Napoli Federico IINapoliItaly
  3. 3.Università degli Studi di PaviaPaviaItaly

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