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https://doi.org/10.24138/jcomss.v15i3.678

Gravitational Search For Designing A Fuzzy Rule-Based Classifiers For Handwritten Signature Verification

Marina Borisovna Bardamova ; Tomsk State University of Control Systems and Radioelectronics, Russia
Anton Konev ; Tomsk State University of Control Systems and Radioelectronics, Russia
Ilya Hodashinsky ; Tomsk State University of Control Systems and Radioelectronics, Russia
Alexander Shelupanov ; Tomsk State University of Control Systems and Radioelectronics, Russia


Puni tekst: engleski pdf 1.446 Kb

str. 254-261

preuzimanja: 302

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Sažetak

Handwritten signatures are used in authentication systems as a universal biometric identifier. Signature authenticity verification requires building and training a classifier. This paper describes a new approach to the verification of handwritten signatures by dynamic characteristics with a fuzzy rule-based classifier. It is suggested to use the metaheuristic Gravitational Search Algorithm for the selection of the relevant features and tuning fuzzy rule parameters. The efficiency of the approach was tested with an original dataset; the type II errors in finding the signature authenticity did not exceed 0.5% for the worst model and 0.08% for the best model.

Ključne riječi

Authentication; Verification; Biometrics; Fuzzy Classifier; Gravitational Search Algorithm

Hrčak ID:

225832

URI

https://hrcak.srce.hr/225832

Datum izdavanja:

30.9.2019.

Posjeta: 709 *