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Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health
Cognitive Computation ( IF 4.3 ) Pub Date : 2020-08-12 , DOI: 10.1007/s12559-020-09755-z
Marcos Faundez-Zanuy , Julian Fierrez , Miguel A. Ferrer , Moises Diaz , Ruben Tolosana , Réjean Plamondon

Online handwritten analysis presents many applications in e-security, signature biometrics being the most popular but not the only one. Handwriting analysis also has an important set of applications in e-health. Both kinds of applications (e-security and e-health) have some unsolved questions and relations among them that should be addressed in the next years. We summarize the state of the art and applications based on handwriting signals. Later on, we focus on the main achievements and challenges that should be addressed by the scientific community, providing a guide for future research. Among all the points discussed in this article, we remark the importance of considering security, health, and metadata from a joint perspective. This is especially critical due to the risks inherent when using these behavioral signals.

中文翻译:

手写生物识别技术:电子安全和电子卫生的应用和未来趋势

在线手写分析提出了电子安全方面的许多应用,签名生物识别技术是最受欢迎的,但并非唯一。手写分析在电子医疗中也有重要的应用。两种应用程序(电子安全和电子医疗)都有一些未解决的问题和它们之间的关系,这些问题和关系应在未来几年内解决。我们总结了基于手写信号的最新技术和应用。稍后,我们将重点放在科学界应解决的主要成就和挑战上,为将来的研究提供指导。在本文讨论的所有要点中,我们指出了从联合的角度考虑安全性,运行状况和元数据的重要性。由于使用这些行为信号时固有的风险,这一点尤其重要。
更新日期:2020-08-12
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