Desain Metode Polar Fuzzy Vault untuk Proteksi Data Sidik Jari
Abstract: Authentication
concept using password or token has been used widely but still has weaknesses,
because password or token can be easily forgotten or shared with other users.
The use of biometric data as an authentication tool can be a solution to the
problem. It is because biometric data is relatively permanent and unique, thus,
the risk of losing or forgetting the password is reduced. Consequently, a
protection method to secure the biometric data is needed. A number of studies
have been done to secure the biometric data, ranging from classic encryption
method to data transformation.
In this paper, a method is developed to create a cancelable fingerprint
templates by combining pair-polar on the selection and matching with modified
fuzzy vault on data transformation. The selection procecss is carried out in
two stages. The first stage selects the reference minutiae points and its
respective neighbors which close to the reference. A feature vector set is
adopted from pair-polar method with an addition of the ridge type of the
neighbors for later use in the matching process. The second stage generates a
template, which is developed by implementing extended fuzzy vault with
combining four regular fuzzy vault sets into one vault. This method gains the
most optimum accuracy up to 99% of GAR and 0.03% of FAR. The use of ridge type
in the matching process can reduce FAR from 1.03% to 0.03%, and the use of
extended fuzzy vault can reduce FAR from 0.28% to 0.03%.
Penulis: Yohanes I. Riskajaya,
Tohari Ahmad
Kode Jurnal: jptlisetrodd170477
