Journal of Computer Engineering & Information TechnologyISSN : 2324-9307

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Research Article, J Comput Eng Inf Technol Vol: 2 Issue: 3

A Fingerprint-based Authentication Framework for ATM Machines

Iwasokun Gabriel Babatunde* and Akinyokun Oluwole Charles
Department of Computer Science, Federal University of Technology, Akure, Nigeria
Corresponding author : Iwasokun Gabriel Babatunde
Department of Computer Science, Federal University of Technology, Akure, Nigeria
Tel: +234-813-0622-747
E-mail:
[email protected]
Received: July 23, 2013 Accepted: November 09, 2013 Published: November 19, 2013
Citation: Babatunde IG, Charles AO (2013) A Fingerprint-based Authentication Framework for ATM Machines. J Comput Eng Inf Technol 2:3. doi:10.4172/2324-9307.1000112

Abstract

A Fingerprint-based Authentication Framework for ATM Machines

The security of the transactions on the Automated Teller Machine (ATM) has been raising many concerns in some parts of the world. These concerns are due to series of limitations in the existing designs of the various service points. The current use of Personal Identification Number (PIN) for ATM user’s verification and identification has been susceptible to unauthorized access, misplacement, forgetfulness, card swallowing among others; thereby narrowing down the machine’s acceptability and patronage. In this paper, a framework for fingerprint authenticated ATM application is presented. The framework comprises of modules for fingerprint enrolment, database and verification. The verification module comprises of fingerprint enhancement, feature extraction and matching sub-modules, which all rely on suitable mathematical models to function. There is also platform for financial transaction including withdrawal and balance enquiries. The implementation was carried out using Windows 7 as operational platform while C# and Microsoft SQL server served as the frontend and backend engines respectively. Tests conducted on the evaluation of the application using False Rejection Rate (FRR), False Acceptance Rate (FAR) and Average Matching Time (AMT) show the adequacy and the suitability of the proposed framework for ATM user verification and authentication.

Keywords: Fingerprint-Based Authentication; ATM; Verification; Security; Feature Extraction

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