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Analysis of postal address fields for efficient encoding of Korean mail pieces

  • Sogang University
  • Electronics and Telecommunications Research Institute

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

3 Scopus citations

Abstract

A systematic approach for encoding Korean addresses to the finest depth of sort is presented in this paper. The implementation is focused on producing the final delivery point code for various types of address recognized in an efficient manner. There are two stages in the address interpretation: 1) agreement verification between the recognized postal code and upper part of the address and 2) analysis of lower part of the address which is important for the encoding. In the agreement verification procedure, the recognized postal code is used as a key to access the address dictionary and each of the retrieved addresses is compared with the words in the recognized address. As a result, the boundary between the upper part and the lower part is located. The confusion matrices are introduced to improve performance of the process by correcting misrecognized characters. In the procedure of interpreting the lower address part, a delivery point code is derived using the house number and/or the building name. Several rules for the interpretation have been developed based on the analysis of real addresses collected. Experiments have been performed to evaluate the proposed approach using addresses collected from two metropolitan cities in Korea.

Original languageEnglish
Title of host publicationProceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001
PublisherIEEE Computer Society
Pages675-679
Number of pages5
ISBN (Electronic)0769512631, 0769512631, 0769512631
DOIs
StatePublished - 2001
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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