Bonfring International Journal of Software Engineering and Soft Computing

Online ISSN: 2277-5099 Print ISSN: 2250-1045 Frequency: 4 Issues/Year

Impact Factor: 0.375 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)

Fingerprint Based ATM

Aishwarya Kulkarni, Ria Jain and Archana Reddy


Abstract
In today's technological era, though it has brought in many convenience features, still it suffers with certain security glitches. Keeping in mind, an attempt has been made through this paper to do away with some of the securities of transactions through Automated Teller Machine ( ATM) which have been of real concern in the various parts of the globe. The existing designs in the available service points have series of limitations raising points of security. Highlighting a few- Currently the usage of Personal Identification Number (PIN) as ATM user's verification and identification has been susceptible to accessibility to the unauthorized user is of utmost security lapse, others being misplacement, card swallowing and forgetfulness, leading to eyebrows raised over the machine's acceptability and patronage. Objective of this paper is attempting to add more security aspects of ATM machines by integrating it with fingerprint module. Particularly this idea provides each customer a unique identity across the banks, and can be used for identification the verification of the account holder.
Keywords ATM, Fingerprint, Secugen, Security.
Volume 6
Issue Special Issue on Advances in Computer Science and Engineering and Workshop on Big Data Analytics Editors: Dr.S.B. Kulkarni, Dr.U.P. Kulkarni, Dr.S.M. Joshi and J.V. Vadavi
Pages 186-189
Issue Date October , 2016
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