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A method for determining address format in the automated sorting of Japanese mail

  • T. Tsuchiya
  • N. Nakajima
  • T. Kamimura
Pattern Recognition and Document Processing
Part of the Lecture Notes in Computer Science book series (LNCS, volume 974)

Abstract

This paper presents a new method for determining the address format used on mail that has been hand-written in Japanese, a task made particularly difficult by the variety of formats possible in Japanese. We classify possible formats into six types, and identify the distinguishing features of each. In the proposed method, features characterizing any of the six types are identified for a given address, and from this a list of format-candidates is generated. Character lines are then determined for any format candidate, and one candidate is subsequently selected on the basis of the statistical likelihood of any address being written in that particular way, given the location and size of the character lines. We also demonstrate the effectiveness of the new method experimentally.

Keywords

Address Recognition Matching Rule Format Candidate Format Determination Character Line 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    A. Gardin (CGA-HBS): A Real Time Address Block Location System for Handwritten Letter and Flat Mail. USPS Advanced Technology Conference 4 1992Google Scholar
  2. 2.
    Sargur N. Srihari, Ching-Huei Wang, Paul W. Palumbo and Jonathan J. Hull: (State University of New York): Recognizing Address Blocks on Mail Pieces: Specialized Tools and Problem-Solving Architecture. AI Magazine, Winter (1987) 25–40Google Scholar
  3. 3.
    T. Ishikawa, Y. Nishijima, Y. Tsuji, I. Kaneko and T. Bashomatsu: Address Block Location and Format Identification of Japanese Address Reading Letter Sorting Machine. NEC RESEARCH & DEVELOPMENT Vol.33, No.2, April (1992) 217–225.Google Scholar
  4. 4.
    T. Bashomatsu: Address Block Location and Format Identification. USPS Postal Service Advanced Conference 5 (1992) 1295–1303Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • T. Tsuchiya
    • 1
  • N. Nakajima
    • 1
  • T. Kamimura
    • 1
  1. 1.Information Technology Research LaboratoriesNEC CorporationKanagawaJapan

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