Card Fraud Reduction Technology in Biometric Fingerprint Security Using Data Mining Algorithms
P.Gayathiri1, M. Punithavalli2
1P.Gayathiri Department of Computer Applications, Bharathiar University, Coimbatore, India
2Dr. M. Punithavalli, Department of Computer Applications, Bharathiar University, Coimbatore, India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 1321-1325 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8519088619/2019©BEIESP | DOI: 10.35940/ijeat.F8519.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the banking sector, biometric authentication is a new trend of technology for avoiding card fraud in the card payment system. A major part of the failure of the partial fingerprint happens to internet banking, mobile banking, e-commerce, Point of scale, and ATM. The partial fingerprint or incomplete fingerprint is a poor quality of ridges in minutiae, noise, and absence of minutiae features. To overcome this problem, many researchers are investigated and find the solution to partial fingerprint techniques like enrollment process, verification, identification and classification of existing algorithms. In the acquisition, process sensors capture the fingerprint image using an optical scanner. A fingerprint-based biometric system is largely a pattern popularity device that allows s someone through the authenticity of the fingerprint-based on biometric verification and identity system. The verification system Acquisition process of fingerprint image can be Compared to database image verify the person is authorized or not. The identification process recognizes the person by one-to-many verification. this paper detailed study of the partial fingerprint techniques time complexity of the Data Mining Algorithms.
Keywords: Biometric, Card Payment, Data mining ,Fingerprint.