Document Writer Analysis with Rejection for Historical Arabic Manuscripts

Daniel Fecker, Abedelkadir Asi, Werner Pantke, Volker Märgner, Jihad El-Sana, Tim Fingscheidt

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

15 Scopus citations

Abstract

Determining the individuality of handwriting in ancient manuscripts is an important aspect of the manuscript analysis process. Automatic identification of writers in historical manuscripts can support historians to gain insights into manuscripts with missing metadata such as writer name, period, and origin. In this paper writer classification and retrieval approaches for multi-page documents in the context of historical manuscripts are presented. The main contribution is a learning-based rejection strategy which utilizes writer retrieval and support vector machines for rejecting a decision if no corresponding writer can be found for a query manuscript. Experiments using different feature extraction methods demonstrate the abilities of our proposed methods. A dedicated data set based on a publicly available database of historical Arabic manuscripts was used and the experiments show promising results.

Original languageEnglish
Title of host publicationProceedings - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014
PublisherInstitute of Electrical and Electronics Engineers
Pages743-748
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

  • decision rejection
  • historical manuscripts
  • writer identification

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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