• Fingerprint Authentication System For Atm Security Applications

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    • 1.2       Statement of the Problem
      In recent years, in line with global trends, the banking sector has faced rising levels of cash card fraud resulting in the subsequent illegal withdrawal of funds from customer accounts. The account-holder is normally held responsible for the loss of funds from their accounts and, as such, the impact of this fraud could be potentially far-reaching.  As a result of this, the banking sector has to embrace biometrics as the solution to the growing problem of counterfeit ATM cards and ID theft. Among others include
      1.      Fraudulent card readers, called skimmers are placed over the authentic reader to transfer numbers and codes to nearby thieves.
      2.      Spy cameras are also used by password voyeurs to collect access codes.
      3.      In cases of card lost, if the loss is not noticed immediately, consumers may loose all funds in an account.
      4.      If you forget your pin number, you cannot use the card.
      5.      The machine can retain your card when the machine malfunctions, when you forget your secret number or if the card is damaged.
      1.3       Aim and Objectives
      The aim of this project work is to simulate an embedded fingerprint authentication system, which is used for ATM security applications. The specific objectives include:
             I.            To provide a platform that will allow the bankers to collect customers’ finger print.
          II.            To provide a platform that will allow the bankers to collect customers’ phone number and store them in a centralized database.
       III.            To build a system that will forward 4-digit number to the customers’ mobile phone when the finger print reading matches.
       IV.            To provide a platform that allows the customer to run his transaction after the system accepts the code generated.
          V.            To create a platform that will be able to analyze biometric data in the global image analysis.

  • CHAPTER ONE -- [Total Page(s) 3]

    Page 2 of 3

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