Automatic handwriting identification on medieval documents

M.L. Bulacu, L.R.B. Schomaker

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

42 Citations (Scopus)

Abstract

In this paper, we evaluate the performance of text-independent writer identification methods on a handwriting dataset containing medieval English documents. Applicable identification rates are achieved by combining textural features (joint directional probability distributions) with allographic features (grapheme-emission distributions). The aim is to develop an automatic handwriting identification tool that can assist the paleographer in the task of determining the authorship of historical manuscripts.

Original languageEnglish
Title of host publicationProc. of 14th Int. Conf. on Image Analysis and Processing
Place of PublicationLOS ALAMITOS
PublisherIEEE (The Institute of Electrical and Electronics Engineers)
Pages279-284
Number of pages6
Volume2
ISBN (Print)978-0-7695-2877-9
Publication statusPublished - 2007
EventProc. of 14th Int. Conf. on Image Analysis and Processing (ICIAP 2007) -
Duration: 11-Sept-200713-Sept-2007

Publication series

NameIEEE Computer Society

Other

OtherProc. of 14th Int. Conf. on Image Analysis and Processing (ICIAP 2007)
Period11/09/200713/09/2007

Keywords

  • WRITER IDENTIFICATION
  • HISTOGRAMS

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