no code implementations • 19 May 2021 • Berat Kurar Barakat, Ahmad Droby, Raid Saabni, Jihad El-Sana
In this paper, we present an unsupervised deep learning method that embeds document image patches to a compact Euclidean space where distances correspond to a coarse text line pattern similarity.
no code implementations • 20 Jan 2021 • Berat Barakat, Ahmad Droby, Majeed Kassis, Jihad El-Sana
This paper presents a method for text line segmentation of challenging historical manuscript images.
no code implementations • 19 Jan 2021 • Ahmad Droby, Berat Kurar Barakat, Borak Madi, Reem Alaasam, Jihad El-Sana
The network is trained that spatially nearby patches are similar.
no code implementations • 18 Jan 2021 • Berat Kurar Barakat, Ahmad Droby, Reem Alaasam, Boraq Madi, Irina Rabaev, Jihad El-Sana
Despite recent progress in text line detection, text line extraction from a handwritten document remains an unsolved task.
no code implementations • 20 Sep 2020 • Ahmad Droby, Jihad El-Sana
This paper proposes a novel Convolutional Neural Network model for contour data analysis (ContourCNN) and shape classification.
no code implementations • 19 Mar 2020 • Berat Kurar Barakat, Ahmad Droby, Rym Alasam, Boraq Madi, Irina Rabaev, Raed Shammes, Jihad El-Sana
We present an unsupervised deep learning method for text line segmentation that is inspired by the relative variance between text lines and spaces among text lines.