Handwritten signature verification using shallow convolutional neural network
Handwritten signatures are an undeniable and unique way to prove the identity of persons.
Owing to the simplicity and uniqueness, it finds an essential place in the area of behavioral …
Owing to the simplicity and uniqueness, it finds an essential place in the area of behavioral …
Learning features for offline handwritten signature verification using deep convolutional neural networks
Verifying the identity of a person using handwritten signatures is challenging in the presence
of skilled forgeries, where a forger has access to a person's signature and deliberately …
of skilled forgeries, where a forger has access to a person's signature and deliberately …
Handwritten signature verification using deep learning
E Alajrami, BAM Ashqar, BS Abu-Nasser, AJ Khalil… - 2020 - philpapers.org
Every person has his/her own unique signature that is used mainly for the purposes of
personal identification and verification of important documents or legal transactions. There …
personal identification and verification of important documents or legal transactions. There …
Feature learning for offline handwritten signature verification using convolutional neural network
In biometrics, handwritten signature verification can be considered as an important topic. In
this article, the authors' proposed method to verify handwritten signatures are based on …
this article, the authors' proposed method to verify handwritten signatures are based on …
Offline handwritten signature verification and recognition based on deep transfer learning
A Foroozandeh, AA Hemmat… - … Conference on Machine …, 2020 - ieeexplore.ieee.org
Recently, deep convolutional neural networks have been successfully applied in different
fields of computer vision and pattern recognition. Offline handwritten signature is one of the …
fields of computer vision and pattern recognition. Offline handwritten signature is one of the …
Deep learning-based data augmentation method and signature verification system for offline handwritten signature
Offline handwritten signature verification is a challenging pattern recognition task. One of the
most significant limitations of the handwritten signature verification problem is inadequate …
most significant limitations of the handwritten signature verification problem is inadequate …
Offline signature verification using deep learning convolutional neural network (CNN) architectures GoogLeNet inception-v1 and inception-v3
Biometric systems such as signature verification are highly viable in order to identify
individuals in organizations or in finance divisions. Advancement in classification of images …
individuals in organizations or in finance divisions. Advancement in classification of images …
Fixed-sized representation learning from offline handwritten signatures of different sizes
Methods for learning feature representations for offline handwritten signature verification
have been successfully proposed in recent literature, using deep convolutional neural …
have been successfully proposed in recent literature, using deep convolutional neural …
Offline handwritten signature verification using CNN inspired by inception V1 architecture
RK Mohapatra, K Shaswat… - 2019 Fifth International …, 2019 - ieeexplore.ieee.org
In the field of behavioral biometric, signature verification is most referenced procedure for
authentication of a person. A signature is considered to be the “seal of approval” for verifying …
authentication of a person. A signature is considered to be the “seal of approval” for verifying …
AVN: An adversarial variation network model for handwritten signature verification
H Li, P Wei, P Hu - IEEE Transactions on Multimedia, 2021 - ieeexplore.ieee.org
Handwritten signature verification is a crucial yet challenging problem. While previous
studies have made great progress in this problem, they learn signature features passively …
studies have made great progress in this problem, they learn signature features passively …