Research Article
Automatic Signature Verifier Using Gaussian Gated Recurrent Unit Neural Network
Table 2
Recent trends in signature verification using LSTM.
| Authors | Title | Year | Source title |
| Najda and Saeed [34] | Impact of augmentation methods in online signature verification | 2022 | Innovations in systems and software engineering |
| Alsuhimat and Mohamad [35] | Offline signature verification using long short-term memory and histogram orientation gradient | 2023 | Bulletin of electrical engineering and informatics |
| Ghosh [29] | A recurrent neural network based deep learning model for offline signature verification and recognition system | 2021 | Expert systems with applications |
| Vorugunti et al. [36] | Deep fuze OSV: online signature verification using hybrid feature fusion and depthwise separable convolution neural network architecture | 2020 | IET biometrics |
| Tolosana et al. [37] | Exploring recurrent neural networks for on-line handwritten signature biometrics | 2018 | IEEE access |
| Shen et al. [38] | A lightweight authentication with dynamic batch-based group key management using LSTM in VANET | 2022 | Security and communication networks |
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