A New Gaze Analysis Based Soft-Biometric View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2013

AUTHORS

Chiara Galdi , Michele Nappi , Daniel Riccio , Virginio Cantoni , Marco Porta

ABSTRACT

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. More... »

PAGES

136-144

Book

TITLE

Pattern Recognition

ISBN

978-3-642-38988-7
978-3-642-38989-4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-38989-4_14

DOI

http://dx.doi.org/10.1007/978-3-642-38989-4_14

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012416417


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