Ground-Truth and Metric for the Evaluation of Arabic Handwritten Character Segmentation

Yousef Elarian, Abdelmalek Zidouri, Wasfi Al-Khatib

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

4 Scopus citations

Abstract

In this paper, we present a character-level ground-truth for an Arabic dataset of 8,640 character-shapes along with an evaluation metric that is adapted from image segmentation. These tools together constitute a benchmark for character-segmentation. We demonstrate the use of this benchmark on some segmentation algorithms and report their quantitative results in bits. Our approach can be extended to other scripts.

Original languageEnglish
Title of host publicationProceedings - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages766-770
Number of pages5
ISBN (Electronic)9781479943340
DOIs
StatePublished - 9 Dec 2014

Publication series

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

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

  • Arabic handwriting
  • entropy-based metric
  • ground-truth
  • segmentation

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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