Generating One Biometric Feature from Another: Faces from Fingerprints

Ozkaya N., Sagiroglu S.

SENSORS, cilt.10, sa.5, ss.4206-4237, 2010 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 10 Sayı: 5
  • Basım Tarihi: 2010
  • Doi Numarası: 10.3390/s100504206
  • Dergi Adı: SENSORS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.4206-4237
  • Erciyes Üniversitesi Adresli: Evet

Özet

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.