Empirical Analysis of Finger Print Bank Algorithm Based Fingerprint Matching Scheme

  • Thallapelly Rajashekar, Rajesh Bommadi

Abstract

: It is now necessary to safeguard your data/information safely without allowing attackers or intruders the option to steal it. Authentication is deemed the most critical function for this situation, which requires anyone to show their authentication to the system independently and once it is right to encourage them to enter the system features otherwise ignore or block them to progress further. In the information technology and defense sectors, there are several authentication mechanisms available, such as Biometric Scheme, IRIS Matching Scheme, Facial Recognition, Password Protection Scheme, etc. The most common, well-known and one of the best classical schemes is called the Biometric Finger Print Matching Scheme, which enables the user to register the finger print for training purposes in the system and further collects the current (testing) finger print from the user at each time of accessing the features in the system and matches it with the already registered finger print until it matches the already registered finger print The suggested Finger Print Bank Algorithm uses the concepts of effective finger print matching to compare the right finger print correctly and provides the user a Boolean answer to notify the user whether to continue forward or not. Effective filtering schemes are used by the Finger Print Bank Algorithm to filter the finger print to extract the internal and global core information of it and extract the raw code from it and equate it with the finger print already recorded. The optimal outcome and consistency of outcomes was ensured for the whole proposed method.

Published
2021-02-01
Section
Articles