Berat Kurar-Barakat

Orcid: 0000-0002-7240-7286

According to our database1, Berat Kurar-Barakat authored at least 23 papers between 2017 and 2024.

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Bibliography

2024
Segmenting Dead Sea Scroll Fragments for a Scientific Image Set.
CoRR, 2024

Computational Paleography of Medieval Hebrew Scripts.
Proceedings of the Computational Humanities Research Conference 2024, 2024

2022
Digital Hebrew Paleography: Script Types and Modes.
J. Imaging, 2022

Hard and Soft Labeling for Hebrew Paleography: A Case Study.
Proceedings of the Document Analysis Systems - 15th IAPR International Workshop, 2022

2021
VML-MOC: Segmenting a multiply oriented and curved handwritten text lines dataset.
CoRR, 2021

VML-HP: Hebrew Paleography Dataset.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Unsupervised Learning of Text Line Segmentation by Differentiating Coarse Patterns.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

2020
Unsupervised text line segmentation.
CoRR, 2020

Unsupervised deep learning for text line segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Text Line Extraction Using Fully Convolutional Network and Energy Minimization.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

The HHD Dataset.
Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

Unsupervised Deep Learning for Handwritten Page Segmentation.
Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

Deep learning for paleographic analysis of medieval Hebrew manuscripts: a DH team collaboration experience.
Proceedings of the Twin Talks 2 and 3 Workshops at DHN 2020 and DH 2020, 2020

2019
The Pinkas Dataset.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

VML-MOC: Segmenting a Multiply Oriented and Curved Handwritten Text Line Dataset.
Proceedings of the 3rd International Workshop on Arabic and derived Script Analysis and Recognition, 2019

Layout Analysis on Challenging Historical Arabic Manuscripts using Siamese Network.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2018
Text Line Segmentation for Challenging Handwritten Document Images using Fully Convolutional Network.
Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

Word Spotting Using Convolutional Siamese Network.
Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018

ASAR 2018 Competition Page Layout Analysis Using Fully Convolutional Networks.
Proceedings of the IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition, 2018

Binarization Free Layout Analysis for Arabic Historical Documents Using Fully Convolutional Networks.
Proceedings of the IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition, 2018

Synthesizing versus Augmentation for Arabic Word Recognition with Convolutional Neural Networks.
Proceedings of the IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition, 2018

Case Study: Fine Writing Style Classification Using Siamese Neural Network.
Proceedings of the IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition, 2018

2017
Experiment study on utilizing convolutional neural networks to recognize historical Arabic handwritten text.
Proceedings of the 1st International Workshop on Arabic Script Analysis and Recognition, 2017


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