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

Marina Borisovna Bardamova, Anton Konev, Ilya Hodashinsky, Alexander Shelupanov
2019 Journal of Communications Software and Systems  
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
more » ... ency 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.
doi:10.24138/jcomss.v15i3.678 fatcat:67m7smw6lnan7gjxld3yy2jlcm