@inproceedings{c08fb07609284c76b210a606a6a68c93,
title = "Word Spotting Using Radial Descriptor",
abstract = "Word spotting provides an efficient mechanism for word searching and indexing of historical documents. In this paper we present a novel feature descriptor, radial descriptor, and study its application for spotting word parts on Arabic historical documents. The radial descriptor aims to capture the intensity variance of the neighborhood of a point at various scale space levels. Features with high variance along multiple levels are used to describe the shape of a word according to the bag-of-features model. The distance between two word-parts is computed as the distance between their occurrence probability histograms. We have tested our approach on a large dataset of Arabic word-parts and received encouraging results.",
keywords = "Arabic Documents, Feature Descriptor, Historical Documents, Keyword Searching, Word Spotting",
author = "Majeed Kassis and Jihad El-Sana",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014 ; Conference date: 01-09-2014 Through 04-09-2014",
year = "2014",
month = dec,
day = "9",
doi = "10.1109/ICFHR.2014.71",
language = "English",
series = "Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "387--392",
booktitle = "Proceedings - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014",
address = "United States",
}