DocumentCode :
1582854
Title :
Analysis of postal address fields for efficient encoding of Korean mail pieces
Author :
Kim, Gyeonghwan ; Lee, Seokgoo ; Shin, Miyoung ; Nam, Yun Seok
Author_Institution :
Dept. of Electron. Eng., Sogang Univ., Seoul, South Korea
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
675
Lastpage :
679
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 upperpart of the address; and 2) analysis of the 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 the 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
Keywords :
document image processing; handwritten character recognition; optical character recognition; postal services; Korean address encoding; Korean mail pieces; OCR; agreement verification; confusion matrices; dictionary; experiments; handwritten character recognition; postal address field analysis; postal automation; postal code recognition; Automation; Cities and towns; Costs; Encoding; Image coding; Information analysis; Postal services; Sorting; Statistical analysis; Text analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7695-1263-1
Type :
conf
DOI :
10.1109/ICDAR.2001.953875
Filename :
953875
Link To Document :
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