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Fingerprint match-on-card: review and outlook

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dc.contributor.author Shabalala, MB
dc.contributor.author Moabalobelo, T
dc.contributor.author Van der Merwe, T
dc.date.accessioned 2015-08-19T10:36:47Z
dc.date.available 2015-08-19T10:36:47Z
dc.date.issued 2015-03
dc.identifier.citation Shabalala, M.B, Moabalobelo, T and Van der Merwe, J. 2015. Fingerprint match-on-card: review and outlook. In: 10th International Conference on Cyber Warfare and Security (ICCWS), Kruger National Park, South Africa, 24 - 25 March 2015 en_US
dc.identifier.uri https://books.google.co.za/books?id=piikBwAAQBAJ&pg=PA286&lpg=PA286&dq=Fingerprint+match-on-card:+review+and+outlook&source=bl&ots=EWtVyizEfw&sig=pASaufAB8SXFeSIlQLgXK2Mx4UE&hl=en&sa=X&ved=0CB0Q6AEwAGoVChMIx5fm7-S0xwIVynAaCh3hBQNX#v=onepage&q=Fingerprint%20match-on-card%3A%20review%20and%20outlook&f=false
dc.identifier.uri http://hdl.handle.net/10204/8037
dc.description 10th International Conference on Cyber Warfare and Security (ICCWS), Kruger National Park, South Africa, 24 - 25 March 2015. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website en_US
dc.description.abstract As cybercrime is on the rise, individuals would like to rest assured that their authentication information cannot be stolen, and then used to gain access to their privileged information. Smart cards can and have played a pivotal role in lowering the statistics on identity theft. This has been achieved by predominantly implementing biometrics matching algorithms inside smart card technology. The biometric matching inside a smart card is known as Match-on-Card/On-Card comparison. However compared to traditional biometric systems implemented on PCs’ and servers, smart cards are resource constrained. In addition smart cards do not implement mathematical functions such as trigonometry since they are mainly meant for secure data storage and simple processing. The current state of the On-Card biometric comparison technology is limited in that data for On-Card comparison either has to be pre-calculated outside the card at runtime or fetched from a look-up table. This is because of the limited mathematical operations available inside a smart card. The pre-calculation of data outside the smart card compromises the security offered by the card and the look-up table limits the accuracy of the biometric comparison. The paper reviews the techniques and challenges of implementing fingerprint On-Card comparison algorithms in a smart card environment. Approaches of overcoming the On-Card comparison challenges are also discussed. en_US
dc.language.iso en en_US
dc.publisher ICCWS en_US
dc.relation.ispartofseries Workflow;14835
dc.subject Cybercrime en_US
dc.subject Biometrics en_US
dc.subject Match-on-Card en_US
dc.title Fingerprint match-on-card: review and outlook en_US
dc.type Article en_US
dc.identifier.apacitation Shabalala, M., Moabalobelo, T., & Van der Merwe, T. (2015). Fingerprint match-on-card: review and outlook. http://hdl.handle.net/10204/8037 en_ZA
dc.identifier.chicagocitation Shabalala, MB, T Moabalobelo, and T Van der Merwe "Fingerprint match-on-card: review and outlook." (2015) http://hdl.handle.net/10204/8037 en_ZA
dc.identifier.vancouvercitation Shabalala M, Moabalobelo T, Van der Merwe T. Fingerprint match-on-card: review and outlook. 2015; http://hdl.handle.net/10204/8037. en_ZA
dc.identifier.ris TY - Article AU - Shabalala, MB AU - Moabalobelo, T AU - Van der Merwe, T AB - As cybercrime is on the rise, individuals would like to rest assured that their authentication information cannot be stolen, and then used to gain access to their privileged information. Smart cards can and have played a pivotal role in lowering the statistics on identity theft. This has been achieved by predominantly implementing biometrics matching algorithms inside smart card technology. The biometric matching inside a smart card is known as Match-on-Card/On-Card comparison. However compared to traditional biometric systems implemented on PCs’ and servers, smart cards are resource constrained. In addition smart cards do not implement mathematical functions such as trigonometry since they are mainly meant for secure data storage and simple processing. The current state of the On-Card biometric comparison technology is limited in that data for On-Card comparison either has to be pre-calculated outside the card at runtime or fetched from a look-up table. This is because of the limited mathematical operations available inside a smart card. The pre-calculation of data outside the smart card compromises the security offered by the card and the look-up table limits the accuracy of the biometric comparison. The paper reviews the techniques and challenges of implementing fingerprint On-Card comparison algorithms in a smart card environment. Approaches of overcoming the On-Card comparison challenges are also discussed. DA - 2015-03 DB - ResearchSpace DP - CSIR KW - Cybercrime KW - Biometrics KW - Match-on-Card LK - https://researchspace.csir.co.za PY - 2015 T1 - Fingerprint match-on-card: review and outlook TI - Fingerprint match-on-card: review and outlook UR - http://hdl.handle.net/10204/8037 ER - en_ZA


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