.png){kind=icon}
.png){kind=icon}
Return
Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach
.png){kind=icon}
OA
AI
DOI：10.2478/jaiscr-2022-0018.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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.
Keywords:
identity verification
dynamic signature
hybrid partitions
partitions' selection
evolutionary algorithm
Journal
IF:
2.4
Papers:
170
Citations:
459
View more organizations