Name
Abstract | ||
|---|---|---|
Biometric technology progressed over the past number of years from an esoteric technology to technology found in various devices such as smart phones, ATMs, pay points, physical access control mechanisms to name only a few. Behavioural biometrics is in many cases applied to strengthen authentication mechanisms such as passwords or voice recognition. In voice recognition the characteristics from the voice such as the pitch, dynamic range and the harmonics can be used for biometric authentication, but to strengthen the authentication decision, the way the person speaks (intonation) will also be applied to confirm authenticity. In this paper the research findings are presented where 25 candidates used the EyeWriter eye tracking technology to test if the behavioural movement of an individual's eye is unique enough to be used for secure biometric authentication. From the various tests performed during the experimental phase of this re-search, and scrutinized in this paper, the following was found: The behavioural aspect of a person's eye movement can indeed be used for behavioural biometric authentication, specifically if a one-to-one biometric authentication approach is followed. A one to many approach showed a lot of potential for future research, but considering the sample size tested, the results cannot easily be extrapolated to the population. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICGS3.2019.8688257 | 2019 IEEE 12th International Conference on Global Security, Safety and Sustainability (ICGS3) |
Keywords | Field | DocType |
Behavioural Biometrics,Eye tracking,Eye based Authentication,Access control,Eye writer | Population,Authentication,Computer science,Human–computer interaction,Eye tracking,Eye movement,Access control,Password,Biometrics,Physical access | Conference |
ISBN | Citations | PageRank |
978-1-5386-7002-6 | 0 | 0.34 |
References | Authors | |
0 | 1 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bobby L. Tait | 1 | 1 | 3.12 |