Latest Publications
Sparse Descriptor for Lexicon Reduction in Handwritten Arabic Documents
Abstract Arabic words have a rich structure. They are made of subwords (groups of connected letters) and diacritical marks (dots). This paper proposes a sparse descriptor specifically designed for lexicon reduction in handwritten Arabic documents. The topological and geometrical features […]
A Robust Word Spotting System for Historical Arabic Manuscripts
Abstract A novel system for word spotting in old Arabic manuscripts is developed. The system has a complete chain of operations and consists of three major steps: pre-processing, data preparation, and word spotting. In the pre-processing step, using multi-level classifiers, […]
Image patches analysis for text block identification
Abstract:
In this paper, we propose a novel text block identification method for ancient document understanding. Unlike traditional top-down and bottom-up approaches, our method is based on supervised learning on the patches of document images, which can be considered as an […]
Hyperspectral band selection based on graph clustering
Abstract:
In this paper we present a new method for hyperspectral band selection problem. The principle is to create a band adjacency graph (BAG) where the nodes represent the bands and the edges represent the similarity weights between the bands. The […]
