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 …
Offline Handwritten Signature Verification Using Decision Tree
The verification of a signature is an exigent research area as the signatures of two
individuals may have similarity whereas the signatures of a person may vary at various …
individuals may have similarity whereas the signatures of a person may vary at various …
Off-line signature verification using a region based metric learning network
L Liu, L Huang, F Yin, Y Chen - … 2018, Guangzhou, China, November 23-26 …, 2018 - Springer
Handwritten signature verification is a challenging problem due to the high similarity
between genuine signatures and skilled forgeries. In this paper, we propose a novel …
between genuine signatures and skilled forgeries. In this paper, we propose a novel …
[PDF][PDF] Offline Handwritten Signature Identification based on Hybrid Features and Proposed Deep Model
Handwritten signature identification is the process of determining an individual's true identity
by analyzing their signature. This is an important task in various applications such as …
by analyzing their signature. This is an important task in various applications such as …
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 …
documents and plays a critical role in indicating a person's identity. Traditionally, a person …
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 …
Automated signature inspection and forgery detection utilizing VGG-16: a deep convolutional neural network
R Dash, M Bag, D Pattnayak… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
With the growing usage of handwritten signatures in legal documents and financial
transactions, it is crucial to select an efficient technique for validating these signatures and …
transactions, it is crucial to select an efficient technique for validating these signatures and …
[PDF][PDF] Handwritten Signatures Forgery Detection Using Pre-Trained Deep Learning Methods
N Ebrahimpour - International Congress of New Horizons in …, 2023 - researchgate.net
Handwritten signature recognition (HSR) is crucial in various applications, such as
document verification, authentication, financial transactions, banking transactions, and legal …
document verification, authentication, financial transactions, banking transactions, and legal …
Offline signature verification using convolutional neural network
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 …
challenging task due to time-variant nature of signature. To address the above difficulty, a …