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Generalized Net Model of Fingerprint Recognition with Intuitionistic Fuzzy Evaluations

  • Veselina Bureva
  • Plamena Yovcheva
  • Sotir SotirovEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 641)

Abstract

In the paper, a method for evaluation of fingerprint equivalence obtained in a fingerprint recognition system is proposed. For the assessment of the equivalence of the respective assessment units, the theory of intuitionistic fuzzy sets is used. The obtained intuitionistic fuzzy estimations reflect on the recognition of the system. We also consider a degree of uncertainty when the information is not enough. In this case we use threshold values for the minimum and maximum of the degree of membership and non-membership. For the description of the entire process, we use generalized nets model.

Keywords

Intuitionistic fuzzy sets Fingerprints Fingerprint system Generalized nets 

Notes

Acknowledgements

The authors are grateful for the support provided by the project DN-02/10 - “New Instruments for Knowledge Discovery from Data, and their Modelling”, funded by the National Science Fund, Bulgarian Ministry of Education, and Science.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Veselina Bureva
    • 1
  • Plamena Yovcheva
    • 1
  • Sotir Sotirov
    • 1
    Email author
  1. 1.Intelligent Systems LaboratoryUniversity “Prof. Dr. Assen Zlatarov”BurgasBulgaria

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