dc.contributor.author |
Baruni, Kedimotse P
|
|
dc.contributor.author |
Helberg, A
|
|
dc.contributor.author |
Nair, Kishor K
|
|
dc.date.accessioned |
2017-10-04T10:47:40Z |
|
dc.date.available |
2017-10-04T10:47:40Z |
|
dc.date.issued |
2016-12 |
|
dc.identifier.citation |
Baruni, K.P., Helberg, A. and Nair, K.K. 2016. Fingerprint matching on smart card: A review. 2016 International Conference on Computational Science and Computational Intelligence,15-17 December 2016, Las Vegas, Nevada, USA |
en_US |
dc.identifier.isbn |
978-1-5090-5510-4 |
|
dc.identifier.uri |
DOI 10.1109/CSCI.2016.156
|
|
dc.identifier.uri |
http://ieeexplore.ieee.org/document/7881450/?reload=true
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/9637
|
|
dc.description |
Copyright: 2016 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, kindly consult the publisher's website. |
en_US |
dc.description.abstract |
Fingerprint Match-on-Card (MoC) offers the highest degree of privacy and security to cardholders as the fingerprint never leaves the secure environment of a smart card. The level of security of a biometric system is evaluated by the location where the biometric matching takes place. However, it is challenging to implement an accurate fingerprint MoC algorithm, which can execute in a short period of time due the limited working memory and processing speed that the smart card provides. Implementing a fingerprint algorithm inside the smart card requires a small template size and a light matching algorithm. This paper reviews the existing fingerprint MoC algorithms, their shortfalls, and advantages. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.relation.ispartofseries |
Worklist;19139 |
|
dc.relation.ispartofseries |
Worklist;19539 |
|
dc.subject |
Smart cards |
en_US |
dc.subject |
Match-on-Card |
en_US |
dc.subject |
MoC |
en_US |
dc.subject |
Biometrics |
en_US |
dc.subject |
Computational intelligence |
en_US |
dc.title |
Fingerprint matching on smart card: A review |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Baruni, K. P., Helberg, A., & Nair, K. K. (2016). Fingerprint matching on smart card: A review. IEEE. http://hdl.handle.net/10204/9637 |
en_ZA |
dc.identifier.chicagocitation |
Baruni, Kedimotse P, A Helberg, and Kishor K Nair. "Fingerprint matching on smart card: A review." (2016): http://hdl.handle.net/10204/9637 |
en_ZA |
dc.identifier.vancouvercitation |
Baruni KP, Helberg A, Nair KK, Fingerprint matching on smart card: A review; IEEE; 2016. http://hdl.handle.net/10204/9637 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Baruni, Kedimotse P
AU - Helberg, A
AU - Nair, Kishor K
AB - Fingerprint Match-on-Card (MoC) offers the highest degree of privacy and security to cardholders as the fingerprint never leaves the secure environment of a smart card. The level of security of a biometric system is evaluated by the location where the biometric matching takes place. However, it is challenging to implement an accurate fingerprint MoC algorithm, which can execute in a short period of time due the limited working memory and processing speed that the smart card provides. Implementing a fingerprint algorithm inside the smart card requires a small template size and a light matching algorithm. This paper reviews the existing fingerprint MoC algorithms, their shortfalls, and advantages.
DA - 2016-12
DB - ResearchSpace
DP - CSIR
KW - Smart cards
KW - Match-on-Card
KW - MoC
KW - Biometrics
KW - Computational intelligence
LK - https://researchspace.csir.co.za
PY - 2016
SM - 978-1-5090-5510-4
T1 - Fingerprint matching on smart card: A review
TI - Fingerprint matching on smart card: A review
UR - http://hdl.handle.net/10204/9637
ER -
|
en_ZA |