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.
Reference:
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
Baruni, K. P., Helberg, A., & Nair, K. K. (2016). Fingerprint matching on smart card: A review. IEEE. http://hdl.handle.net/10204/9637
Baruni, Kedimotse P, A Helberg, and Kishor K Nair. "Fingerprint matching on smart card: A review." (2016): http://hdl.handle.net/10204/9637
Baruni KP, Helberg A, Nair KK, Fingerprint matching on smart card: A review; IEEE; 2016. http://hdl.handle.net/10204/9637 .
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