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Fingerprint matching on smart card: A review

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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


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