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Abstract
The dynamic signature is a biometric attribute used for identity verification. It contains information on dynamics of the signing process. There are many approaches to the dynamic signature verification, including the one based on signature partitioning. Partitions are the regions created on the basis of signals describing the dynamics of the signature. They contain information on the shape of the signature characteristic of a given individual. In this paper, we focus on so-called vertical partitioning and different population-based algorithms which are used to determine partition division points. In the verification process we use an authorial one-class classifier.
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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)
- Published in:
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LECTURE NOTES IN COMPUTER SCIENCE
no. 12855,
pages 511 - 518,
ISSN: 0302-9743 - Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- Zalasiński M., Niksa-Rynkiewicz T., Cpałka K.: Dynamic Signature Vertical Partitioning Using Selected Population-Based Algorithms// / : , 2021, s.511-518
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-030-87897-9_45
- Verified by:
- Gdańsk University of Technology
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