Cam-Wallet: fingerprint-based authentication in M-wallets using embedded cameras

Conference paper

Okpara, O.S. and Bekaroo, G. 2017. Cam-Wallet: fingerprint-based authentication in M-wallets using embedded cameras. IEEE 17th EEEIC and IEEE 1st I&CPS Europe. Milan, Italy 06 - 09 Jun 2017 IEEE. pp. 1-5 https://doi.org/10.1109/eeeic.2017.7977654
TypeConference paper
TitleCam-Wallet: fingerprint-based authentication in M-wallets using embedded cameras
AuthorsOkpara, O.S. and Bekaroo, G.
Abstract

With the financial technology revolution, the days of bringing out cash from well-crafted leather wallets to make payments have begun to phase out and plastic payment cards are no longer being considered as the future of financial services. An important part of this revolution is mobile wallet, which is an application of m-payment that has features similar to a conventional wallet. As mobile wallets or digital wallets have been transforming the execution of customer to merchant transactions, security remains an important concern. Authentication mechanisms in the form of PINs, passwords and pattern codes have not been sufficient to curb the threats. Most recent attempts to rectify this issue involved the application of capacitance-based biometric. Although these efforts have brought about relatively more secure authentication, not all mobile devices are equipped with capacitance sensors and the high cost of the ones equipped presents a problem. The paper proposes an approach where a camera captured fingerprint sample is employed for customer electronic wallet authentication.

KeywordsCam-Wallet; M-Wallet; fingerprint authentication; biometric authentication; capacitance biometric
Conference IEEE 17th EEEIC and IEEE 1st I&CPS Europe
Page range1-5
Proceedings Title2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
ISBN
Electronic9781538639177
Paperback9781538639184
PublisherIEEE
Publication dates
Print30 Jun 2017
Online13 Jul 2017
Publication process dates
Deposited12 Jun 2020
Accepted15 Feb 2017
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1109/eeeic.2017.7977654
Web of Science identifierWOS:000426764000248
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/7966856/proceeding
LanguageEnglish
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