Repozytorium Uniwersytetu Zielonogórskiego udostępnia 9 590 obiektów cyfrowych
Obiekt
Tytuł: Vanilla convolutional neural network is all you need for online and offline signature verification
Contributor:
Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.
Group publication title:
Abstract:
Recent advances in deep learning have been utilized successively to improve the performance of signature verification (SV) systems. Deep models proposed in the literature are complicated and need to learn many parameters to give acceptable error rates, requiring a lot of training data. On the other hand, those models are designed and hand-crafted specializing in the problem, online or offline SV. ; In this work, we suggest and show on popular datasets that similar and simple convolutional neural network (CNN) models can achieve state-of-the-art results both for offline and online SV problems. For offline SV, our work outperforms its counterparts with and without data augmentation. We also show that a very similar CNN architecture can be employed for online SV. To the best of our knowledge, this is the first work to show that CNNs can be used to learn online signature representations directly from raw data.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Resource Identifier:
DOI:
Pages:
Source:
AMCS, volume 35, number 2 (2025) ; kliknij tutaj, żeby przejść
Language:
License CC BY 4.0:
Rights:
Biblioteka Uniwersytetu Zielonogórskiego
Kolekcje, do których przypisany jest obiekt:
- Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Repository > Types of work > Articles
- Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2025)
Data ostatniej modyfikacji:
7 sie 2025
Data dodania obiektu:
7 sie 2025
Liczba wyświetleń treści obiektu:
80
Wszystkie dostępne wersje tego obiektu:
https://zbc.uz.zgora.pl/repozytorium/publication/101995
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 35, number 1 (2025)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 35, number 2 (2025)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 35, number 3 (2025)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 35, number 4 (2025)
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| Nazwa wydania | Data |
|---|---|
| Vanilla convolutional neural network is all you need for online and offline signature verification | 7 sie 2025 |
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