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Abstract
The dynamic signature is an attribute used in behavioral biometrics for verifying the identity of an individual. This attribute, apart from the shape of the signature, also contains information about the dynamics of the signing process described by the signals which tend to change over time. It is possible to process those signals in order to obtain descriptors of the signature characteristic of an individual user. One of the methods used in order to determine such descriptors is based on signals partitioning. In this paper, we propose a new method using a population-based algorithm for determining vertical partitions of the signature and its descriptors. Our method uses a Differential Evolution algorithm for signals partitioning and an authorial one-class fuzzy classifier for verifying the effectiveness of this process. In the simulations, we use a commercial BioSecure DS2 dynamic signature database.
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Authors (3)
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Marcin Zalasiński Dr hab. inż.
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Krzysztof Cpałka prof. dr hab. inż.
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Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language:
- English
- Publication year:
- 2020
- Bibliographic description:
- Zalasiński M., Cpałka K., Niksa-Rynkiewicz T.: The dynamic signature verification using population-based vertical partitioning// / : , 2020, s.569-579
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-030-63830-6_48
- Verified by:
- Gdańsk University of Technology
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