Enhancing Micro-ATMs and POS Terminals Authentication System Using AdvancedBiometric Techniques
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2017, Vol 19, Issue 4
Abstract
Most of the transactions at the Point of Sale (POS) terminals are carried out by payments through Credit or Debit cards.Many leading banks have started the door step banking service with the help of microATM device.The current authentication system uses fingerprint authentication or PIN based authentication method.Biometric features are unique for every individual and hence can be widely used in fusion for enhancing the security system for micro-ATMS and POS terminals.
Authors and Affiliations
Priya Tawde, Dr. G. Prasanna Lakshmi
Keywords
Related Articles
- EP ID EP385497
- DOI 10.9790/0661-1904017477.
- Views 130
- Downloads 0
M-Wallet Security using Cued Click Points
Abstract: The main goal of this paper is to provide higher level of security by using graphical password authentication scheme. Text passwords are easily broken by various intruders and may hack all confidential in...
Classificationof Stages of Lung Cancer using Genetic Candidate Group Search Approach
Abstract: Cancer is one of the most commonly affected diseases in the progressing countries. Early diagnosis of cancer plays a significant role in curing cancer patients. Thousands of people every year die due to lung ca...
A Review of Optical Character Recognition System forRecognition of Printed Text
Abstract: As we move ahead in technology advancements, from simple data processing, to intelligentcomputing, one area of research undergoing advancement, is the system of reading text characters on an image.Optical...
Android Malware: Study and analysis of malware for privacy leak in ad-hoc network
Smartphone’s users has been increasing since last few years which provides numerous operations like accessing information through online mode, payment options, using utility applications, playing games. Sma...
Analytical Review of Feature Extraction Techniques for Automatic Speech Recognition
Speech recognition is a multileveled pattern recognition task, in which acoustical signals are examined and structured into a hierarchy of sub word units (e.g., phonemes), words, phrases, and sentences. Each l...