TY - GEN
T1 - Graphical gesture-based authentication for non-contact access control
AU - Van Wyk, Shaun
AU - Van Der Haar, Dustin
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/10
Y1 - 2017/1/10
N2 - Access control is regarded as absolutely crucial in any environment, especially in home and work environments where sensitive resources are accessed. In this paper, we propose a non-contact, gesture-based authentication alternative to password authentication. The solution focuses on capturing specific graphical information, in the form of patterns drawn in the air, as a means of authentication. The solution presents a model, validated by a prototype in order to assess the solution against various metrics. This solution has achieved promising performance results, related to the false acceptance rate (FAR), false rejection rate (FRR), failure to enroll rate (FTER) and failure to acquire rate (FTAR), showing the ability to potentially compete with existing biometric systems. Furthermore, the solution succeeds in investigating a solution that is more difficult to subvert through the integration of various parameters.
AB - Access control is regarded as absolutely crucial in any environment, especially in home and work environments where sensitive resources are accessed. In this paper, we propose a non-contact, gesture-based authentication alternative to password authentication. The solution focuses on capturing specific graphical information, in the form of patterns drawn in the air, as a means of authentication. The solution presents a model, validated by a prototype in order to assess the solution against various metrics. This solution has achieved promising performance results, related to the false acceptance rate (FAR), false rejection rate (FRR), failure to enroll rate (FTER) and failure to acquire rate (FTAR), showing the ability to potentially compete with existing biometric systems. Furthermore, the solution succeeds in investigating a solution that is more difficult to subvert through the integration of various parameters.
UR - http://www.scopus.com/inward/record.url?scp=85011980819&partnerID=8YFLogxK
U2 - 10.1109/RoboMech.2016.7813151
DO - 10.1109/RoboMech.2016.7813151
M3 - Conference contribution
AN - SCOPUS:85011980819
T3 - 2016 Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference, PRASA-RobMech 2016
BT - 2016 Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference, PRASA-RobMech 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference, PRASA-RobMech 2016
Y2 - 30 November 2016 through 2 December 2016
ER -