Baruni, Kedimotse PHelberg, ANair, Kishor K2017-10-042017-10-042016-12Baruni, 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, USA978-1-5090-5510-4DOI 10.1109/CSCI.2016.156http://ieeexplore.ieee.org/document/7881450/?reload=truehttp://hdl.handle.net/10204/9637Copyright: 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.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.enSmart cardsMatch-on-CardMoCBiometricsComputational intelligenceFingerprint matching on smart card: A reviewConference PresentationBaruni, K. P., Helberg, A., & Nair, K. K. (2016). Fingerprint matching on smart card: A review. IEEE. http://hdl.handle.net/10204/9637Baruni, Kedimotse P, A Helberg, and Kishor K Nair. "Fingerprint matching on smart card: A review." (2016): http://hdl.handle.net/10204/9637Baruni KP, Helberg A, Nair KK, Fingerprint matching on smart card: A review; IEEE; 2016. http://hdl.handle.net/10204/9637 .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 -