[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] 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 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 …

Writer identification using machine learning approaches: a comprehensive review

A Rehman, S Naz, MI Razzak - Multimedia Tools and Applications, 2019 - Springer
Handwriting is one of the most common types of questioned writing encountered and
frequently attracts the attention in litigation. Contrary to the physiological characteristics …

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 …

Global regular network for writer identification

S Wang - arXiv preprint arXiv:2201.05951, 2022 - arxiv.org
Writer identification has practical applications for forgery detection and forensic science.
Most models based on deep neural networks extract features from character image or sub …

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 …

Deep neural networks-based offline writer identification using heterogeneous handwriting data: an evaluation via a novel standard dataset

SNM Khosroshahi, SN Razavi, AB Sangar… - Journal of Ambient …, 2022 - Springer
In modern societies, handwritten identification is a great practical need and challenge for
forensic sciences. Moreover, few research studies have focused on automatic offline …

Automatic visual features for writer identification: a deep learning approach

A Rehman, S Naz, MI Razzak, IA Hameed - IEEE access, 2019 - ieeexplore.ieee.org
Identification of a person from his writing is one of the challenging problems; however, it is
not new. No one can repudiate its applications in a number of domains, such as forensic …