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.
A New Gaze Analysis Based Soft-Biometric / Chiara, G., Michele, N., Riccio, D., Virginio, C., Marco, P.. - 7914:(2013), pp. 136-144. (5th Mexican Conference on Pattern Recognition Quéretaro (Messico) 26-29/06/2013) [10.1007/978-3-642-38989-4_14].
A New Gaze Analysis Based Soft-Biometric
RICCIO, Daniel;
2013
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
