The application of mobile biometrics as a user-friendly authentication method
has increased in the last years. Recent studies have proposed novel behavioral
biometric recognition systems based on Transformers, which currently outperform
the state of the art in several application scenarios. On-line handwritten
signature verification aims to verify the identity of subjects, based on their
biometric signatures acquired using electronic devices such as tablets or
smartphones. This paper investigates the suitability of architectures based on
recent Transformers for on-line signature verification. In particular, four
different configurations are studied, two of them rely on the Vanilla
Transformer encoder, and the two others have been successfully applied to the
tasks of gait and activity recognition. We evaluate the four proposed
configurations according to the experimental protocol proposed in the
SVC-onGoing competition. The results obtained in our experiments are promising,
and promote the use of Transformers for on-line signature verification.

本文研究了基于最新的 Transformers 架构对在线签名验证的适用性，并评估了四种不同的配置，结果表明 Transformers 对于在线签名验证有很大的潜力。