Search
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.
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Authors (3)
-
Marcin Zalasiński Dr hab. inż.
-
Krzysztof Cpałka prof. dr hab. inż.
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Published in:
-
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
seen 67 times
Recommended for you
The dynamic signature verification using population-based vertical partitioning
- M. Zalasiński,
- K. Cpałka,
- T. Niksa-Rynkiewicz
Signature Partitioning Using Selected Population-Based Algorithms
- M. Zalasiński,
- K. Cpałka,
- T. Niksa-Rynkiewicz
- + 1 authors
An Automated Method for Biometric Handwritten Signature Authentication Employing Neural Networks
- M. Kurowski,
- A. Sroczyński,
- G. Bogdanis
- + 1 authors