An intelligent automatic face contour prediction system

Authors:
Seref Sagiroglu;Necla Ozkaya
Affiliations:
Gazi University, Engineering and Architecture Faculty, Computer Engineering Department, Ankara, Turkey;Erciyes University, Engineering Faculty, Computer Engineering Department, Kayseri, Turkey
Venue:
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
Year:
2008

Citing 27
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Abstract

Even if biometric features have been deeply studied, tested and successfully applied to many applications, there is no study in achieving a biometric feature one from another. This study presents a novel intelligent approach analysing the existence of any relationship among fingerprints and faces. The approach is based on artificial neural networks to generate face contour of a person from only his/her fingerprint. Experimental results have shown that there are close relationships among the features of fingerprints and faces. It is possible to generate face contours from fingerprint images without knowing any information about faces. Although the proposed system is initial study and it is still under development, the performance of the system is very encouraging and promising for the future developments and applications.