Synthetic data in human analysis: A survey
Deep neural networks have become prevalent in human analysis, boosting the performance
of applications, such as biometric recognition, action recognition, as well as person re …
of applications, such as biometric recognition, action recognition, as well as person re …
A survey on symmetrical neural network architectures and applications
O Ilina, V Ziyadinov, N Klenov, M Tereshonok - Symmetry, 2022 - mdpi.com
A number of modern techniques for neural network training and recognition enhancement
are based on their structures' symmetry. Such approaches demonstrate impressive results …
are based on their structures' symmetry. Such approaches demonstrate impressive results …
Offline signature verification using a region based deep metric learning network
L Liu, L Huang, F Yin, Y Chen - Pattern Recognition, 2021 - Elsevier
Handwritten signature verification is a widely used biometric for person identity
authentication in document forensics. Despite the tremendous efforts in past research, offline …
authentication in document forensics. Despite the tremendous efforts in past research, offline …
A new wrapper feature selection method for language-invariant offline signature verification
D Banerjee, B Chatterjee, P Bhowal… - Expert Systems with …, 2021 - Elsevier
Among various biometric systems, an offline signature verification system has been widely
used in all fields such as in banks, educational institutes, legal procedures and, criminal …
used in all fields such as in banks, educational institutes, legal procedures and, criminal …
Offline signature verification system: a novel technique of fusion of GLCM and geometric features using SVM
In the area of digital biometric systems, the handwritten signature plays a key role in the
authentication of a person based on their original samples. In offline signature verification …
authentication of a person based on their original samples. In offline signature verification …
Data augmentation with suboptimal warping for time-series classification
K Kamycki, T Kapuscinski, M Oszust - Sensors, 2019 - mdpi.com
In this paper, a novel data augmentation method for time-series classification is proposed. In
the introduced method, a new time-series is obtained in warped space between …
the introduced method, a new time-series is obtained in warped space between …
A two-stage siamese network model for offline handwritten signature verification
W Xiao, Y Ding - symmetry, 2022 - mdpi.com
Offline handwritten signature verification is one of the most prevalent and prominent
biometric methods in many application fields. Siamese neural network, which can extract …
biometric methods in many application fields. Siamese neural network, which can extract …
Automatic signature verifier using Gaussian gated recurrent unit neural network
Handwritten signatures are one of the most extensively utilized biometrics used for
authentication, and forgeries of this behavioral biometric are quite widespread. Biometric …
authentication, and forgeries of this behavioral biometric are quite widespread. Biometric …
Forgery-free signature verification with stroke-aware cycle-consistent generative adversarial network
In recent years, the performance of handwritten signature verification (HSV) has been
considerably improved by deep learning methods. However, deep HSV still faces significant …
considerably improved by deep learning methods. However, deep HSV still faces significant …
A multi-task approach for contrastive learning of handwritten signature feature representations
In spite of recent advances in computer vision, the classic problem of offline handwritten
signature verification still remains challenging. The signature verification task has a high …
signature verification still remains challenging. The signature verification task has a high …