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Accent detection in handwriting based on writing styles

  • SUNY Buffalo

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

12 Scopus citations

Abstract

Accent in handwriting can be defined as the influence of a writer's native script on his/her writing style in another script. In this paper, we approach the problem of detecting the existence of accents in handwriting. We approach this problem using two sets of writers, those who can write only in English, and the other set being multilingual writers who can also write in English. We learn the writing styles that are predominant in each set and use it as features in classification. Latent Dirichlet Allocation is used to learn the distribution over writing styles. Experimental results suggest the existence of accents in handwriting.

Original languageEnglish
Title of host publicationProceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012
Pages312-316
Number of pages5
DOIs
StatePublished - 2012
Event10th IAPR International Workshop on Document Analysis Systems, DAS 2012 - Gold Coast, QLD, Australia
Duration: Mar 27 2012Mar 29 2012

Publication series

NameProceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012

Conference

Conference10th IAPR International Workshop on Document Analysis Systems, DAS 2012
Country/TerritoryAustralia
CityGold Coast, QLD
Period03/27/1203/29/12

Keywords

  • Accents in Handwriting
  • Handwriting Styles Modeling
  • Topic Models

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