1 citations · 1 across the 4 of their papers we have counts for
6 papers
Unsupervised learning of text line segmentation by differentiating coarse patterns
Berat Kurar Barakat, Ahmad Droby, Raid Saabni +1
Despite recent advances in the field of supervised deep learning for text line segmentation, unsupervised deep learning solutions are beginning to gain popularity. In this paper, w…
Text Line Segmentation for Challenging Handwritten Document Images Using Fully Convolutional Network
Berat Barakat, Ahmad Droby, Majeed Kassis +1
This paper presents a method for text line segmentation of challenging historical manuscript images. These manuscript images contain narrow interline spaces with touching component…
Unsupervised Deep Learning for Handwritten Page Segmentation
Ahmad Droby, Berat Kurar Barakat, Borak Madi +2
Segmenting handwritten document images into regions with homogeneous patterns is an important pre-processing step for many document images analysis tasks. Hand-labeling data to tra…
Text line extraction using fully convolutional network and energy minimization
Berat Kurar Barakat, Ahmad Droby, Reem Alaasam +3
Text lines are important parts of handwritten document images and easier to analyze by further applications. Despite recent progress in text line detection, text line extraction fr…
ContourCNN: convolutional neural network for contour data classification
Ahmad Droby, Jihad El-Sana
This paper proposes a novel Convolutional Neural Network model for contour data analysis (ContourCNN) and shape classification. A contour is a circular sequence of points represent…
Unsupervised deep learning for text line segmentation
Berat Kurar Barakat, Ahmad Droby, Rym Alasam +4
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. Handwritten tex…