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Conference of the Canadian Society for Computational Studies of Intelligence

Canadian AI 2008: Advances in Artificial Intelligence pp 246–258Cite as

An Intelligent Automatic Face Contour Prediction System

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5032))

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.

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Author information

Authors and Affiliations

  1. Engineering and Architecture Faculty, Computer Engineering Department, Gazi University, 06570, Ankara, Turkey

    Seref Sagiroglu

  2. Engineering Faculty, Computer Engineering Department, Erciyes University, 38039, Kayseri, Turkey

    Necla Ozkaya

Authors
  1. Seref Sagiroglu
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  2. Necla Ozkaya
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Editor information

Sabine Bergler

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© 2008 Springer-Verlag Berlin Heidelberg

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Sagiroglu, S., Ozkaya, N. (2008). An Intelligent Automatic Face Contour Prediction System. In: Bergler, S. (eds) Advances in Artificial Intelligence. Canadian AI 2008. Lecture Notes in Computer Science(), vol 5032. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68825-9_24

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  • DOI: https://doi.org/10.1007/978-3-540-68825-9_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68821-1

  • Online ISBN: 978-3-540-68825-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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