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Study of Structural features of handwritten grapheme 'th' for writer identification

Vladimir Pervouchine, Graham Leedham

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

3 Citations (Scopus)

Abstract

In this paper we present a study of 25 structural micro features of handwriting extracted automatically from images of grapheme 'th'. The study was carried out on a total of 3823 samples collected from 165 different writers, between 15 and 27 samples per writer. The methods of feature extraction are presented along with the results. We present a direct analysis of the feature usefulness. A measure of usefulness specific to handwriting examination was designed and the usefulness of the features was estimated. It was shown that most of the extracted micro features of 'th' do possess discriminative power. Ranking of features allows simple comparison of their discriminative power.
Original languageEnglish
Title of host publicationProceedings of the Third International Symposium on Information Assurance and Security
EditorsNing Zhang, Ajith Abraham, Qi Shi, Johnson Thomas, Patrick Kellenberger
Place of PublicationLos Alamitos, United States of America
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages417-422
ISBN (Print)0769528767, 9780769528762
DOIs
Publication statusPublished - 2007
EventIAS 2007: 3rd International Symposium on Information Assurance and Security - Manchester, United Kingdom
Duration: 29 Aug 200731 Aug 2007

Conference

ConferenceIAS 2007: 3rd International Symposium on Information Assurance and Security
CityManchester, United Kingdom
Period29/08/0731/08/07

Keywords

  • Computer Vision
  • Image Processing
  • Pattern Recognition and Data Mining

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