Fingerprint Image Processing and Optimal Control in ATM Banking

Authors

  • Thomas Wetere Tulu University of Chinese Academy of Sciences, School of Mathematical Sciences, Beijing, China
  • Tiande Guo University of Chinese Academy of Sciences, School of Mathematical Sciences, Beijing, China
  • Mohamed Ibrahim University of Chinese Academy of Sciences, Academy of Mathematics and System Sciences

Keywords:

Fingerprints, ATM, optimization problem, matching, image processing

Abstract

Rapid development of banking industry has changed the way banking activities are dealt with. This is mainly
because of using advanced technologies like ATM. Related to the booming of banking technology with ATM banking,
there is a great security question as the current ATM banking system uses only numeric password as authentication
which is not safe and secured. This study tries to propose the authentication by using both numeric based password
(PIN) and fingerprint biometric authentication in the objective to make the industry safe and secured.

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Published

2019-04-25

How to Cite

Thomas Wetere Tulu, Tiande Guo, & Mohamed Ibrahim. (2019). Fingerprint Image Processing and Optimal Control in ATM Banking. International Journal of Advance Engineering and Research Development (IJAERD), 6(4), 101–109. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/4171

Issue

Vol. 6 No. 4 (2019): Volume: 06, Issue: 04 - April, 2019

Section

Articles