Word Spotting Using Radial Descriptor

Majeed Kassis, Jihad El-Sana

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

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Word spotting provides an efficient mechanism for word searching and indexing of historical documents.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we present a novel feature descriptor, radial descriptor, and study its application for spotting word parts on Arabic historical documents.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.

Original languageEnglish
Title of host publicationProceedings - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages387-392
Number of pages6
ISBN (Electronic)9781479943340
DOIs
StatePublished - 9 Dec 2014
Event14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014 - Hersonissos, Crete Island, Greece
Duration: 1 Sep 20144 Sep 2014

Publication series

NameProceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR
Volume2014-December
ISSN (Print)2167-6445
ISSN (Electronic)2167-6453

Conference

Conference14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014
Country/TerritoryGreece
CityHersonissos, Crete Island
Period1/09/144/09/14

Keywords

  • Arabic Documents
  • Feature Descriptor
  • Historical Documents
  • Keyword Searching
  • Word Spotting

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