An intelligent face features generation system from fingerprints

Authors: ŞEREF SAĞIROĞLU, NECLA ÖZKAYA

Abstract: In this study, a novel intelligent system based on artificial neural networks was designed and introduced for generating faces from fingerprints with high accuracy. The proposed system has a number of modules including two feature enrolment modules for acquiring the fingerprints and faces into the system, two feature extractors for extracting the feature sets of fingerprint and face biometrics, an artificial neural network module that was configured 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 fingerprints. It can be concluded that the proposed study significantly and directly contributes to biometrics and its new applications.

Keywords: Information security, biometrics, artificial neural networks.

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