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Efficient word segmentation driven by unconstrained handwritten phrase recognition

  • SUNY Buffalo

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

10 Scopus citations

Abstract

An efficient system which finds the best match between an input image and a lexicon is presented. To capture writing style of spacing between words and characters prime stroke analysis based on statistical methods is introduced. A method for estimating bound on number of characters without actual recognition is also presented. For system efficiency, before actual recognition, classified groups of word segments and eligible subset of lexicons are generated as hypotheses. The hypotheses are verified and ordered by a lexicon driven word recognizor. We have tested our approach in the street name recognition/interpretation for US mail stream. Experimental results and encouraging.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999
PublisherIEEE Computer Society
Pages609-612
Number of pages4
ISBN (Electronic)0769503187
DOIs
StatePublished - 1999
Event5th International Conference on Document Analysis and Recognition, ICDAR 1999 - Bangalore, India
Duration: Sep 20 1999Sep 22 1999

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR

Conference

Conference5th International Conference on Document Analysis and Recognition, ICDAR 1999
Country/TerritoryIndia
CityBangalore
Period09/20/9909/22/99

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