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Segmentation and pre-recognition of arabic handwriting

  • SUNY Buffalo

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

44 Scopus citations

Abstract

We propose a novel algorithm for the segmentation and pre-recognition of off-line handwritten Arabic text. Our character segmentation method over-segments each word, then removes extra breakpoints using knowledge of letter shapes. On a test set of 200 images, 92.3% of the segmentation points were detected correctly, with 5.1% instances of over-segmentation, The pre-recognition component annotates each detected letter with shape information, to be used for recognition in future work.

Original languageEnglish
Title of host publicationProceedings of the Eighth International Conference on Document Analysis and Recognition
Pages605-609
Number of pages5
DOIs
StatePublished - 2005
Event8th International Conference on Document Analysis and Recognition - Seoul, Korea, Republic of
Duration: Aug 31 2005Sep 1 2005

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume2005
ISSN (Print)1520-5363

Conference

Conference8th International Conference on Document Analysis and Recognition
Country/TerritoryKorea, Republic of
CitySeoul
Period08/31/0509/1/05

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