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A perspective analysis of handwritten signature technology
Handwritten signatures are biometric traits at the center of debate in the scientific
community. Over the last 40 years, the interest in signature studies has grown steadily …
community. Over the last 40 years, the interest in signature studies has grown steadily …
Signature identification and verification techniques: state-of-the-art work
Signature identification and verification are some of the biometric systems used for personal
identification. Signatures can be considered as authentication of an individual by the …
identification. Signatures can be considered as authentication of an individual by the …
Exploring recurrent neural networks for on-line handwritten signature biometrics
Systems based on deep neural networks have made a breakthrough in many different
pattern recognition tasks. However, the use of these systems with traditional architectures …
pattern recognition tasks. However, the use of these systems with traditional architectures …
DeepSign: Deep on-line signature verification
Deep learning has become a breathtaking technology in the last years, overcoming
traditional handcrafted approaches and even humans for many different tasks. However, in …
traditional handcrafted approaches and even humans for many different tasks. However, in …
Dynamic signature verification system based on one real signature
The dynamic signature is a biometric trait widely used and accepted for verifying a person's
identity. Current automatic signature-based biometric systems typically require five, ten, or …
identity. Current automatic signature-based biometric systems typically require five, ten, or …
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 …
Multi-step electric vehicles charging loads forecasting: An autoformer variant with feature extraction, frequency enhancement, and error correction blocks
F Cheng, H Liu - Applied Energy, 2024 - Elsevier
The extensive integration of electric vehicles (EVs) into power grids has raised safety
concerns. Meanwhile current EVs charging loads forecasting models mainly focus on single …
concerns. Meanwhile current EVs charging loads forecasting models mainly focus on single …
Usage of autoencoders and Siamese networks for online handwritten signature verification
In this paper, we propose a novel writer-independent global feature extraction framework for
the task of automatic signature verification which aims to make robust systems for …
the task of automatic signature verification which aims to make robust systems for …
Collaborative mobile charging for sensor networks
The limited battery capacity of sensor nodes has become the biggest impediment to wireless
sensor network (WSN) applications. Two recent breakthroughs in the areas of wireless …
sensor network (WSN) applications. Two recent breakthroughs in the areas of wireless …
On the exploration of information from the DTW cost matrix for online signature verification
This paper explores the utility of information derived from the dynamic time war** (DTW)
cost matrix for the problem of online signature verification. The prior works in literature …
cost matrix for the problem of online signature verification. The prior works in literature …