Extraction of specified objects from binary images using object based erosion transform: Application to Hebrew calligraphic manuscripts

Itay Bar-Yosef, Isaac Beckman, Klara Kedem, Itshak Dinstein

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

Abstract

This paper presents a method for automatic extraction of certain pre-specified objects from binary images. The method is applied to letters from historic Hebrew manuscripts and is based on object based erosion transform. The extraction method deals very well with common problems of historical documents, such as broken or merged characters, and can be applied to different writing styles. An average correct extraction rate of 96% is achieved.

Original languageEnglish
Title of host publicationProceedings of the Eighth International Conference on Document Analysis and Recognition
Pages878-882
Number of pages5
DOIs
StatePublished - 1 Dec 2005
Event8th International Conference on Document Analysis and Recognition - Seoul, Korea, Republic of
Duration: 31 Aug 20051 Sep 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
Period31/08/051/09/05

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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