Forensic handwritten signature identification using deep learning

O Tarek, A Atia - 2022 IEEE 9th International Conference on …, 2022 - ieeexplore.ieee.org
Forgery is a type of fraud defined as the act of forging a copy or an imitation of a document,
signature, or banknote which is considered a form of illegal criminal activity. In this paper, we …

Automated Verification of the Signatures' Authenticity Using Artificial Intelligence Methods

P Bilski, J Olejnik, M Goc - 2023 IEEE 12th International …, 2023 - ieeexplore.ieee.org
The paper presents the approach to identify fake signatures based on the image analysis.
The problem is related with the forensics operations in order to distinguish handwritten …

Optimized SVM Parameters with Googlenet Model for Handwritten Signature Verification

K Tamilarasi, V Annapoorani… - Journal of Electrical …, 2024 - search.proquest.com
As far as behavioral biometric authentication procedures go, signature verification is at the
top of the list. The most popular form of user authentication, a signature is like a" seal of …

SignBot: An Automated Robot with Efficient Net Model for Signature Creation

M Nagapriya, P Babu, GM Swathi - 2023 9th International …, 2023 - ieeexplore.ieee.org
Because of their ease of use and one-of-a-kind character, handwritten signatures are one of
the first forms of biometric verification and remain one of the most popular methods utilized …

Handwritten Signature Recognition using MobileCNN

K Harika, P Dhanalakshmi, SSK Reddy… - 2024 International …, 2024 - ieeexplore.ieee.org
Classifying handwritten signatures becomes important when it comes to document
verification. In order to maximize the precision and effectiveness of the signature …

Deep Learning Based Offline Handwritten Signature Recognition

B Çiftçi, R Tekin - Bitlis Eren Üniversitesi Fen Bilimleri Dergisi - dergipark.org.tr
In our digitalized world, the need for reliable authentication methods is steadily increasing.
Biometric authentication methods are divided into two main categories: physiological and …