Text-independent writer identification and verification on offline Arabic handwriting

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

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

108 Citations (Scopus)

Abstract

In this paper we evaluate the performance on Arabic handwriting of the text-independent writer identification methods that we developed and tested on Western script in recent years. We use the IFN/ENIT data in the experiments reported here and our tests involve 350 writers. The results show that our methods are very, effective and the conclusions drawn in previous studies remain valid also on Arabic script. High performance is achieved by combining textural features (joint directional probability, distributions) with allographic features (grapheme-emission distributions).

Original languageEnglish
Title of host publicationICDAR 2007: NINTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS I AND II, PROCEEDINGS
EditorsB Werner
Place of PublicationLOS ALAMITOS
PublisherIEEE (The Institute of Electrical and Electronics Engineers)
Pages769-773
Number of pages5
Volume2
ISBN (Print)978-0-7695-2822-9
Publication statusPublished - 2007
Event9th International Conference on Document Analysis and Recognition - , Brazil
Duration: 23-Sept-200726-Sept-2007

Publication series

NameIEEE Computer Society

Other

Other9th International Conference on Document Analysis and Recognition
Country/TerritoryBrazil
Period23/09/200726/09/2007

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