Fingerprint Image Processing and Optimal Control in ATM Banking
| Author(s) | : | Thomas Wetere Tulu, Tiande Guo, Mohamed Ibrahim |
| Institution | : | University of Chinese Academy of Sciences, School of Mathematical Sciences, Beijing, China |
| Published In | : | Vol. 6, Issue 4 — April 2019 |
| Page No. | : | 101-109 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Rapid development of banking industry has changed the way banking activities are dealt with. This is mainlybecause 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 authenticationwhich 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.
Thomas Wetere Tulu, Tiande Guo, Mohamed Ibrahim, “Fingerprint Image Processing and Optimal Control in ATM Banking”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 6, Issue 4, pp. 101-109, April 2019.
