The Influence of Language Orthographic Characteristics on Digital Word Recognition

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3 Scopus citations

Abstract

We study the effect of language orthographic characteristics on the performance of digital word recognition in degraded documents such as historical documents. We provide a rigorous scheme for quantifying the influence of the orthographic characteristics on the quality of word recognition in such documents. We study and compare several orthographic characteristics for four natural languages and measure the effect of each individual characteristic on the digital word recognition process. To this end we create synthetic languages, for which all characteristics, except the one we examine, are identical, and measure the performance of two word recognition algorithms on synthetic documents of these languages. We examine and summarize the influence of the values of each characteristic on the performance of these word recognition methods.

Original languageEnglish
Title of host publicationProceedings - 11th IAPR International Workshop on Document Analysis Systems, DAS 2014
PublisherIEEE Computer Society
Pages131-135
Number of pages5
ISBN (Print)9781479932436
DOIs
StatePublished - 1 Jan 2014
Event11th IAPR International Workshop on Document Analysis Systems, DAS 2014 - Tours, France
Duration: 7 Apr 201410 Apr 2014

Conference

Conference11th IAPR International Workshop on Document Analysis Systems, DAS 2014
Country/TerritoryFrance
CityTours
Period7/04/1410/04/14

Keywords

  • Degraded documents
  • Natural language characteristics
  • Orthographic neighborhood
  • Word recognition

ASJC Scopus subject areas

  • Software

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