dc.contributor.author |
Brown, Dane
|
|
dc.contributor.author |
Bradshaw, K
|
|
dc.date.accessioned |
2017-10-25T12:43:34Z |
|
dc.date.available |
2017-10-25T12:43:34Z |
|
dc.date.issued |
2017-09 |
|
dc.identifier.citation |
Brown, D. and Bradshaw, K. 2017. Enhanced biometric access control for mobile devices. Southern Africa Telecommunication Networks and Applications Conference (SATNAC), 3 September 2017, Barcelona, Spain |
en_US |
dc.identifier.isbn |
978-0-620-76756-9 |
|
dc.identifier.uri |
http://www.satnac.org.za//proceedings/2017/SATNAC%202017%20Proceedings%20Final.pdf
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/9688
|
|
dc.description |
Paper presented at Southern Africa Telecommunication Networks and Applications Conference (SATNAC), 3 September 2017, Barcelona, Spain |
en_US |
dc.description.abstract |
In the new Digital Economy, mobile devices are increasingly 978-0-620-76756-9being used for tasks that involve sensitive and/or financial data. Hitherto, security on smartphones has not been a priority and furthermore, users tend to ignore the security features in favour of more rapid access to the device. We propose an authentication system that can provide enhanced security by utilizing multi-modal biometrics from a single image, captured at arm’s length, containing unique face and iris data. The system is compared to state-of-the-art face and iris recognition systems, in related studies using the CASIA-Iris-Distance dataset and the IITD iris dataset. The proposed system outperforms the related studies in all experiments and shows promising advancements to at-a-distance iris recognition on mobile devices. |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.ispartofseries |
Worklist;19615 |
|
dc.subject |
Digital economies |
en_US |
dc.subject |
Financial data |
en_US |
dc.subject |
CASIA-iris-distance dataset |
en_US |
dc.title |
Enhanced biometric access control for mobile devices |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Brown, D., & Bradshaw, K. (2017). Enhanced biometric access control for mobile devices. http://hdl.handle.net/10204/9688 |
en_ZA |
dc.identifier.chicagocitation |
Brown, Dane, and K Bradshaw. "Enhanced biometric access control for mobile devices." (2017): http://hdl.handle.net/10204/9688 |
en_ZA |
dc.identifier.vancouvercitation |
Brown D, Bradshaw K, Enhanced biometric access control for mobile devices; 2017. http://hdl.handle.net/10204/9688 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Brown, Dane
AU - Bradshaw, K
AB - In the new Digital Economy, mobile devices are increasingly 978-0-620-76756-9being used for tasks that involve sensitive and/or financial data. Hitherto, security on smartphones has not been a priority and furthermore, users tend to ignore the security features in favour of more rapid access to the device. We propose an authentication system that can provide enhanced security by utilizing multi-modal biometrics from a single image, captured at arm’s length, containing unique face and iris data. The system is compared to state-of-the-art face and iris recognition systems, in related studies using the CASIA-Iris-Distance dataset and the IITD iris dataset. The proposed system outperforms the related studies in all experiments and shows promising advancements to at-a-distance iris recognition on mobile devices.
DA - 2017-09
DB - ResearchSpace
DP - CSIR
KW - Digital economies
KW - Financial data
KW - CASIA-iris-distance dataset
LK - https://researchspace.csir.co.za
PY - 2017
SM - 978-0-620-76756-9
T1 - Enhanced biometric access control for mobile devices
TI - Enhanced biometric access control for mobile devices
UR - http://hdl.handle.net/10204/9688
ER -
|
en_ZA |