Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach - Publication - Bridge of Knowledge

Search

Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach

Abstract

In the verification of identity, the aim is to increase effectiveness and reduce involvement of verified users. A good compromise between these issues is ensured by dynamic signature verification. The dynamic signature is represented by signals describing the position of the stylus in time. They can be used to determine the velocity or acceleration signal. Values of these signals can be analyzed, interpreted, selected, and compared. In this paper, we propose an approach that: (a) uses an evolutionary algorithm to create signature partitions in the time and velocity domains; (b) selects the most characteristic partitions in terms of matching with reference signatures; and (c) works individually for each user, eliminating the need of using skilled forgeries. The proposed approach was tested using Biosecure DS2 database which is a part of the DeepSignDB, a database with genuine dynamic signatures. Our simulations confirmed the correctness of the adopted assumptions.

Citations

  • 6

    CrossRef

  • 0

    Web of Science

  • 6

    Scopus

Authors (8)

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
Journal of Artificial Intelligence and Soft Computing Research no. 12, pages 267 - 279,
ISSN: 2083-2567
Language:
English
Publication year:
2022
Bibliographic description:
Zalasiński M., Laskowski Ł., Niksa-Rynkiewicz T., Cpałka K., Byrski A., Przybyszewski K., Trippner P., Dong S.: Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach// Journal of Artificial Intelligence and Soft Computing Research -Vol. 12,iss. 4 (2022), s.267-279
DOI:
Digital Object Identifier (open in new tab) 10.2478/jaiscr-2022-0018
Sources of funding:
  • Free publication
Verified by:
Gdańsk University of Technology

seen 88 times

Recommended for you

Meta Tags