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.

翻译：近年来，移动生物特征识别作为一种便捷的认证方法得到了广泛应用。最新研究提出了基于Transformer的新型行为生物特征识别系统，在多个应用场景中均优于现有技术水平。在线手写签名验证旨在通过电子设备（如平板电脑或智能手机）获取的生物签名来验证用户身份。本文研究了基于最新Transformer架构在在线签名验证中的适用性。具体而言，我们探讨了四种不同配置，其中两种基于原始Transformer编码器，另外两种已成功应用于步态识别和活动识别任务。我们根据SVC-onGoing竞赛提出的实验协议，对四种配置进行了评估。实验结果表明，该方案具有良好前景，并推动了Transformer在在线签名验证中的应用。