An approach to word image matching based on weighted hausdorff distance

  • Yue Lu
  • , Chew Lim Tan
  • , Weihua Huang
  • , Liying Fan

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

70 Scopus citations

Abstract

An approach to word image matching based on weighted Hausdorff distance(WHD) is proposed in this paper to facilitate the detection and location of the user-specified words in the document images. Preprocessing such as eliminating the space between adjacent characters in the word images and scale normalization is first done before the WHD is utilized to measure the distance between the template image and the word image extracted from the document image. Experimental results in the application of detecting the user-specified words from both English and Chinese document images show that it is a promising approach for word image matching.

Original languageEnglish
Title of host publicationProceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001
PublisherIEEE Computer Society
Pages921-925
Number of pages5
ISBN (Electronic)0769512631, 0769512631, 0769512631
DOIs
StatePublished - 2001
Externally publishedYes
Event6th International Conference on Document Analysis and Recognition, ICDAR 2001 - Seattle, United States
Duration: 10 Sep 200113 Sep 2001

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume2001-January
ISSN (Print)1520-5363

Conference

Conference6th International Conference on Document Analysis and Recognition, ICDAR 2001
Country/TerritoryUnited States
CitySeattle
Period10/09/0113/09/01

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