Handwriting biometrics: Applications and future trends in e-security and e-health
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 …
being the most popular but not the only one. Handwriting analysis also has an important set …
A comparative study among handwritten signature verification methods using machine learning techniques
Nowadays, the verification of handwritten signatures has become an effective research field
in computer vision as well as machine learning. Signature verification is naturally formulated …
in computer vision as well as machine learning. Signature verification is naturally formulated …
[HTML][HTML] BehavePassDB: public database for mobile behavioral biometrics and benchmark evaluation
Mobile behavioral biometrics have become a popular topic of research, reaching promising
results in terms of authentication, exploiting a multimodal combination of touchscreen and …
results in terms of authentication, exploiting a multimodal combination of touchscreen and …
TypeNet: Deep learning keystroke biometrics
We study the performance of Long Short-Term Memory networks for keystroke biometric
authentication at large scale in free-text scenarios. For this we explore the performance of …
authentication at large scale in free-text scenarios. For this we explore the performance of …
[HTML][HTML] SVC-onGoing: Signature verification competition
This article presents SVC-onGoing 1, an on-going competition for on-line signature
verification where researchers can easily benchmark their systems against the state of the …
verification where researchers can easily benchmark their systems against the state of the …
[HTML][HTML] Exploring transformers for behavioural biometrics: A case study in gait recognition
Biometrics on mobile devices has attracted a lot of attention in recent years as it is
considered a user-friendly authentication method. This interest has also been motivated by …
considered a user-friendly authentication method. This interest has also been motivated by …
Time-series averaging and local stability-weighted dynamic time war** for online signature verification
M Okawa - Pattern Recognition, 2021 - Elsevier
To meet the recent demands for automated security systems, this study proposes a novel
single-template strategy that uses mean templates and local stability-weighted dynamic time …
single-template strategy that uses mean templates and local stability-weighted dynamic time …
A review of signature recognition using machine learning
EA Soelistio, REH Kusumo, ZV Martan… - 2021 1st International …, 2021 - ieeexplore.ieee.org
Signatures have been used for years for transactions and consenting to responsibilities. Yet,
online or offline, signatures can easily be falsified as there are no security measures in place …
online or offline, signatures can easily be falsified as there are no security measures in place …
[HTML][HTML] GaitPrivacyON: Privacy-preserving mobile gait biometrics using unsupervised learning
Numerous studies in the literature have already shown the potential of biometrics on mobile
devices for authentication purposes. However, it has been shown that, the learning …
devices for authentication purposes. However, it has been shown that, the learning …
Smartphone sensors for modeling human-computer interaction: General outlook and research datasets for user authentication
In this paper we list the sensors commonly available in modern smartphones and provide a
general outlook of the different ways these sensors can be used for modeling the interaction …
general outlook of the different ways these sensors can be used for modeling the interaction …