[PDF][PDF] A literature review of offline text-independent writer verification and identification by learning the global feature vectors via triplet CNN

D Kvartskhava - portfolios.cs.earlham.edu
“Handwriting is a kind of behavioral biometrics [12].” Every person has a somewhat unique
handwriting style, which makes it possible to verify or identify a person based on their …

[PDF][PDF] Research Proposal O line text-independent writer identification by learning the global feature vectors via triplet CNN

D Kvartskhava - portfolios.cs.earlham.edu
“Handwriting is a kind of behavioral biometrics [14].” Every person 24 has a somewhat
distinct handwriting style, which makes it possi-25 ble to verify or identify a person based on …

[PDF][PDF] Research Proposal Offline text-independent writer verification and identification by learning the global feature vectors via triplet CNN

D Kvartskhava - portfolios.cs.earlham.edu
Writer identification based on handwriting plays an important role in law enforcement
investigations. Convolutional Neural Networks have been successfully applied to this …

Offline writer identification using deep feature concatenation

P Afzali, A Rezapour… - Journal of Intelligent & …, 2023 - content.iospress.com
Handwriting is an individual trait that serves as evidence to authenticate a particular writer.
Identifying the writer of a handwritten text has shown encouraging results in examining …

Dual-pathway deep CNN for offline writer identification

N Purohit, S Panwar - Advances in Deep Learning, Artificial Intelligence …, 2022 - Springer
Writer Identification is a challenging problem based on small amount of handwritten text. It is
also a foremost research topic in forensic analysis of documents. For this, a convolution …

Attention based End to end network for Offline Writer Identification on Word level data

V Kumar, S Sundaram - arXiv preprint arXiv:2404.07602, 2024 - arxiv.org
Writer identification due to its widespread application in various fields has gained popularity
over the years. In scenarios where optimum handwriting samples are available, whether …

Text-independent writer identification using convolutional neural network

HT Nguyen, CT Nguyen, T Ino, B Indurkhya… - Pattern Recognition …, 2019 - Elsevier
The text-independent approach to writer identification does not require the writer to write
some predetermined text. Previous research on text-independent writer identification has …

Convolutional Neural Network for Off-Line Writer Identification based on Line Segments of Handwritten Documents

E Puspoki - 2022 - fse.studenttheses.ub.rug.nl
Identifying individuals based on their handwriting can be challenging, but it is an essential
step in document verification tasks. This is because everyone has their unique style of …

WriterINet: a multi-path deep CNN for offline text-independent writer identification

A Chahi, Y El Merabet, Y Ruichek… - International Journal on …, 2023 - Springer
Handwriting-based identification is a fundamental pattern recognition problem that has
attracted considerable interest in recent years. Writer identification is a major challenge …

Writer Identification from Offline Handwriting Images in Urdu Script with Dense-Net: A Deep Learning Approach

ST Nabi, P Singh, M Kumar - 2023 14th International …, 2023 - ieeexplore.ieee.org
Handwriting serves as a valuable tool in various organizational processes, such as
recruitment, interviewing, team-building, counseling, and career planning. Even identical …