[PDF][PDF] Handwritten Signature Verification Method Using Convolutional Neural Network

WYA AlKarem, ET Khalid, KH Ali - 2024 - ijeee.edu.iq
Automatic signature verification methods play a significant role in providing a secure and
authenticated handwritten signature in many applications, to prevent forgery problems …

Offline signature verification using convolutional neural network

SV Bonde, P Narwade, R Sawant - 2020 6th International …, 2020 - ieeexplore.ieee.org
Offline handwritten signature verification is widely used important form of biometrics. It is a
challenging task due to time-variant nature of signature. To address the above difficulty, a …

Handwritten Signature Verification System Using Convolutional Neural Network for Real-Time Applications

C Maza-Merchán, J Cordero - International Conference on Applied …, 2022 - Springer
The handwritten signature is the most common method used to verify the legality of
documents and plays a critical role in indicating a person's identity. Traditionally, a person …

An Offline Signature Verification Using Deep Convolutional Neural Networks

SS Rokade, SK Singh, S Bansod… - 2023 Third International …, 2023 - ieeexplore.ieee.org
When a biometric authentication technology verifies a handwritten offline signature. Due to
the time-variant character of signatures, signature verification is a difficult process. There are …

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 …

Offline signature verification using pre-trained deep convolutional neural network

SD Bhavani, RK Bharathi, RJ Kumar - AIP Conference Proceedings, 2024 - pubs.aip.org
Handwritten signature is the most commonly employed behavioral biometric in financial, and
legal institutions. Because of its simplicity, forgers may easily counterfeit signatures and …

A multi-dimensional review on handwritten signature verification: strengths and gaps

SD Bhavani, RK Bharathi - Multimedia Tools and Applications, 2024 - Springer
A handwritten signature is the most widely accepted method to authenticate an individual in
banking, financial, business transactions, cheque processing, access control, and e …

A novel architecture to verify offline hand-written signatures using convolutional neural network

S Alkaabi, S Yussof, S Almulla… - … on Innovation and …, 2019 - ieeexplore.ieee.org
Hand-written signatures are marked on documents to establish legally binding evidence of
identity and intent. However, they are prone to forgery, and the design of an accurate feature …

Multi-dilation convolutional neural network for automatic handwritten signature verification

RR Upadhyay, R Mehta, KK Singh - SN Computer Science, 2023 - Springer
With the recent advancements in deep learning techniques, the application areas of
unstructured data analytics are emerging in multiple domains. One of the popular …

Handwritten signature verification system using deep learning

DP Sudharshan, RN Vismaya - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Every person has a unique signature, which is primarily used for identity documents and the
authentication of significant documents or legal documentation. Static and dynamic …