An intelligent face features generation system from fingerprints

Sagiroglu S., Ozkaya N.

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, vol.17, no.2, pp.183-203, 2009 (SCI-Expanded) identifier


In this study, a novel intelligent system based on arti?cial neural networks was designed and introduced
for generating faces from ?ngerprints with high accuracy. The proposed system has a number of modules
including two feature enrolment modules for acquiring the ?ngerprints and faces into the system, two feature
extractors for extracting the feature sets of ?ngerprint and face biometrics, an arti?cial neural network module
that was con?gured with the help of Taguchi experimental design method for establishing relationships among
the biometric features, a face re-constructor for building up face features from the results of the system, and
a test module for test the results of the system. 10-fold cross validation technique was used for evaluating
the performance of the system. The results have shown that the face features can be successfully generated
from only ?ngerprints. It can be concluded that the proposed study signi?cantly and directly contributes to
biometrics and its new applications.