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Three-stage Handwriting Stroke Extraction Method with Hidden Loop Recovery

  • Vladimir Pervouchine
  • , Graham Leedham
  • , Melikhov Konstantin

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

10 Citations (Scopus)

Abstract

A method for extraction of strokes from handwriting characters and graphemes is presented. The method allows the modelling of the original pen tip trajectory close to that perceived by humans, thus allowing its use in writer identification and verification tasks. The method is also capable of identifying retraced strokes and recovering hidden loops. Strokes are represented as cubic splines. The method extracts strokes in three stages: vectorisation, merging of skeletal branches and loop recovery, and final adjustment of near-junction and loop pieces. The evaluation of the method is performed by using its results for structural feature extraction and writer classification based on the features.
Original languageEnglish
Title of host publicationProceedings of the 2005 Eight International Conference on Document Analysis and Recognition (ICDAR'05)
Place of PublicationLos Alamitos, United States of America
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages307-311
Volume1
ISBN (Print)0769524206
DOIs
Publication statusPublished - 2005
EventICDAR 2005: 8th International Conference on Document Analysis and Recognition - Seoul, South Korea
Duration: 29 Aug 20051 Sept 2005

Conference

ConferenceICDAR 2005: 8th International Conference on Document Analysis and Recognition
CitySeoul, South Korea
Period29/08/051/09/05

Keywords

  • Pattern Recognition and Data Mining
  • Image Processing
  • Artificial Intelligence and Image Processing

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