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 …

[PDF][PDF] Machine learning for ancient languages: A survey

T Sommerschield, Y Assael, J Pavlopoulos… - Computational …, 2023 - direct.mit.edu
Ancient languages preserve the cultures and histories of the past. However, their study is
fraught with difficulties, and experts must tackle a range of challenging text-based tasks, from …

Writer identification using deep learning with fast keypoints and harris corner detector

A Semma, Y Hannad, I Siddiqi, C Djeddi… - Expert Systems with …, 2021 - Elsevier
Writer identification from offline images of handwriting is an interesting pattern classification
problem that has been investigated for many decades now. Despite significant research …

Writer identification using GMM supervectors and exemplar-SVMs

V Christlein, D Bernecker, F Hönig, A Maier… - Pattern Recognition, 2017 - Elsevier
This paper describes a method for robust offline writer identification. We propose to use
RootSIFT descriptors computed densely at the script contours. GMM supervectors are used …

Automatic processing of Historical Arabic Documents: a comprehensive survey

MI Khedher, H Jmila, MA El-Yacoubi - Pattern Recognition, 2020 - Elsevier
Nowadays, there is a huge amount of Historical Arabic Documents (HAD) in the national
libraries and archives around the world. Analyzing this type of data manually is a difficult and …

Encoding CNN activations for writer recognition

V Christlein, A Maier - 2018 13th IAPR international workshop …, 2018 - ieeexplore.ieee.org
The encoding of local features is an essential part for writer identification and writer retrieval.
While CNN activations have already been used as local features in related works, 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 …

Forensic document examination and algorithmic handwriting analysis of Judahite biblical period inscriptions reveal significant literacy level

A Shaus, Y Gerber, S Faigenbaum-Golovin, B Sober… - Plos one, 2020 - journals.plos.org
Arad is a well preserved desert fort on the southern frontier of the biblical kingdom of Judah.
Excavation of the site yielded over 100 Hebrew ostraca (ink inscriptions on potsherds) dated …

A deep learning based system for writer identification in handwritten Arabic historical manuscripts

M Chammas, A Makhoul, J Demerjian… - Multimedia Tools and …, 2022 - Springer
Determining the writer or transcriber of historical Arabic manuscripts has always been a
major challenge for researchers in the field of humanities. With the development of …

Off-line text-independent writer recognition: A survey

YJ Xiong, Y Lu, PSP Wang - International Journal of Pattern …, 2017 - World Scientific
Writer recognition is to identify a person on the basis of handwriting, and great progress has
been achieved in the past decades. In this paper, we concentrate ourselves on the issue of …