| Title of paper:
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An intuitionistic fuzzy facial recognition approach by eigenvalues
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| Author(s):
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| Todor Petkov
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| Laboratory of Intelligent Systems, University “Prof. Dr. Assen Zlatarov”, 1 Prof. Asen Zlatarov University, Bourgas-8010, Bulgaria
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| todor_petkov@btu.bg
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| Todor Kostadinov
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| Laboratory of Intelligent Systems, University “Prof. Dr. Assen Zlatarov”, 1 Prof. Asen Zlatarov University, Bourgas-8010, Bulgaria
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| kostadinov.todor@btu.bg
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| Sotir Sotirov
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| Laboratory of Intelligent Systems, University “Prof. Dr. Assen Zlatarov”, 1 Prof. Asen Zlatarov University, Bourgas-8010, Bulgaria
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| ssotirov@btu.bg
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| Maciej Krawczak
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| Systems Research lnstitute - Polish Academy of Sciences, ul. Newelska 6, OL-447 Warsaw, Poland
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| krawczak@ibspan.waw.pl
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| Presented at:
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21st International Conference on Intuitionistic Fuzzy Sets, 22–23 May 2017, Burgas, Bulgaria
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| Published in:
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"Notes on IFS", Volume 23, 2017, Number 2, pages 111—118
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| Download:
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 PDF (157 Kb Kb, Info)
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| Abstract:
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In the present paper a facial recognition approach using a reduced set of image values as a training vector is presented. The image simplification is performed by using the calculated Eigenvector of an image to train a neural network. It results lower processing times for rough image recognition. This approach is ideal for rough facial acquisition in dynamic background where it can be used as an early detection system. The degree of coincidence is stated by an intuitionistic fuzzy estimation. To verify the approach correctness an experiment involving variety of tests over human and non-human on objects of is carried out.
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| Keywords:
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Intuitionistic fuzzy sets, Facial recognition, Image recognition, Eigenvalues, Neural networks.
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| AMS Classification:
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03E72.
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| References:
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| Citations:
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