Baruni, KedimotseHelberg, AlbertNair, Kishor2017-05-092017-05-092017Baruni, K. et al. 2017. Fingerprint matching on smart card: a review. 2016 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, 15-17 Dec. Art. #7881450. p.809-813. [https://doi.org/10.1109/CSCI.2016.0157]978-1-5090-5510-4 (Online)http://hdl.handle.net/10394/21806https://doi.org/10.1109/CSCI.2016.0157https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7881450Fingerprint 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 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 advantagesenSmart cardMatch-on-CardBiometricsFingerprintPresentation