Patch-based offline signature verification using one-class hierarchical deep learning
Automatic processing of offline signature verification (in general) can be considered as a low-
cost solution to problems in biometrics in comparison with other solutions (eg fingerprint …
cost solution to problems in biometrics in comparison with other solutions (eg fingerprint …
An offline writer-independent signature verification system using autoembedder
Handwritten Signature is considered one of the most effective behavioral biometrics. It plays
an important role in identifying and verifying persons for banking access control, criminal …
an important role in identifying and verifying persons for banking access control, criminal …
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 …
An Offline Writer-Independent Signature Verification Method with Robustness Against Scalings and Rotations
FEH Pachas, ESL Gastal - 2021 34th SIBGRAPI Conference on …, 2021 - ieeexplore.ieee.org
Handwritten signatures are still one of the most used and accepted methods for user
identification and authentication. They are used in a wide range of human daily tasks …
identification and authentication. They are used in a wide range of human daily tasks …
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 …
Handwritten Signature Verification Using Convolution Neural Network (CNN)
Despite recent widespread research in the field, handwritten signature verification is still an
unresolved research problem. A person's signature is an important biometric trait of a human …
unresolved research problem. A person's signature is an important biometric trait of a human …
High-Performance Embedded System for Offline Signature Verification Problem Using Machine Learning
This paper proposes a high-performance embedded system for offline Urdu handwritten
signature verification. Though many signature datasets are publicly available in languages …
signature verification. Though many signature datasets are publicly available in languages …
CNN with Batch Normalization Adjustment for Offline Hand-written Signature Genuine Verification
WM Fatihia, A Fariza, T Karlita - JOIV: International Journal on Informatics …, 2023 - joiv.org
Signature genuine verifications of offline hand-written signatures are critical for preventing
forgery and fraud. With the growth of protecting personal identity and preventing fraud, the …
forgery and fraud. With the growth of protecting personal identity and preventing fraud, the …
Signature verification using convolutional neural network
Signatures are widely used to validate the authentication of an individual. A robust method is
still awaited that can correctly certify the authenticity of a signature. The proposed solution …
still awaited that can correctly certify the authenticity of a signature. The proposed solution …
Ensemble Learning for Offline Signature Verification using Fused Deep Features
Signature verification plays an important role in document authentication. The efficient and
robust system is required for forgery detection in documents in the presence of distortion …
robust system is required for forgery detection in documents in the presence of distortion …