Copy For Citation
Ozkaya N., Sagiroglu S.
SENSORS, vol.10, no.5, pp.4206-4237, 2010 (SCI-Expanded)
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Publication Type:
Article / Article
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Volume:
10
Issue:
5
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Publication Date:
2010
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Doi Number:
10.3390/s100504206
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Journal Name:
SENSORS
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Journal Indexes:
Science Citation Index Expanded (SCI-EXPANDED), Scopus
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Page Numbers:
pp.4206-4237
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Erciyes University Affiliated:
Yes
Abstract
Abstract: This study presents a new approach based on artificial neural networks for
generating one biometric feature (faces) from another (only fingerprints). An automatic and
intelligent system was designed and developed to analyze the relationships among
fingerprints and faces and also to model and to improve the existence of the relationships.
The new proposed system is the first study that generates all parts of the face including
eyebrows, eyes, nose, mouth, ears and face border from only fingerprints. It is also unique
and different from similar studies recently presented in the literature with some superior
features. The parameter settings of the system were achieved with the help of Taguchi
experimental design technique. The performance and accuracy of the system have been
evaluated with 10-fold cross validation technique using qualitative evaluation metrics in
addition to the expanded quantitative evaluation metrics. Consequently, the results were
presented on the basis of the combination of these objective and subjective metrics for
illustrating the qualitative properties of the proposed methods as well as a quantitative
evaluation of their performances. Experimental results have shown that one biometric
feature can be determined from another. These results have once more indicated that there is
a strong relationship between fingerprints and faces.