[PDF][PDF] Supervised Feature Learning for Offline Writer Identification Using VLAD and Double Power Normalization.

D Liang, M Wu, Y Hu - Computers, Materials & Continua, 2023 - cdn.techscience.cn
As an indispensable part of identity authentication, offline writer identification plays a notable
role in biology, forensics, and historical document analysis. However, identifying handwriting …

A multi-patch deep learning system for text-independent writer identification

D Liang, M Wu - Security, Privacy, and Anonymity in Computation …, 2021 - Springer
Offline handwriting identification is widely used in many fields of modern society, such as
judicial authentication, identity verification, ancient manuscripts, etc. Compared with …

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 …

Offline writer identification using convolutional neural network and vlad descriptors

D Liang, M Wu, Y Hu - Artificial Intelligence and Security: 7th International …, 2021 - Springer
This paper proposes a method for writer identification and retrieval. The focus of these two
tasks is to extract discriminative features from handwriting documents. Traditional artificial …

Offline writer identification based on clbp and vlbp

F Abbas, A Gattal, C Djeddi, A Bensefia, A Jamil… - Pattern Recognition and …, 2021 - Springer
Writer identification from handwriting is still considered to be challenging task due to
homogeneous vision comparing writer of handwritten documents. This paper presents a …

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 …

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 …

[PDF][PDF] Length Independent Writer Identification Based on the Fusion of Deep and Hand-crafted

Writer's identification from a handwritten text is one of the most challenging machine
learning problems because of the variable handwritten sources, various languages, the …

Length independent writer identification based on the fusion of deep and hand-crafted descriptors

A Sulaiman, K Omar, MF Nasrudin, A Arram - IEEE Access, 2019 - ieeexplore.ieee.org
Writer's identification from a handwritten text is one of the most challenging machines
learning problems because of the variable handwritten sources, various languages, the …

Offline text-independent writer identification using different levels of features

D Wang - Proceedings of the 2019 8th International Conference …, 2019 - dl.acm.org
The effective extraction of feature information in handwriting identification has been the
focus of researchers, especially the completion of a robust handwriting identification method …