Empirical design of a holistic verifier for automatic sorting of handwritten Singapore postal addresses

Author

Lee, Chin Keong ; Leedham, Graham

Author_Institution

Sch. of Appl. Sci., Nanyang Technol. Inst., Singapore

fYear

1999

fDate

20-22 Sep 1999

Firstpage

733

Lastpage

736

Abstract

This paper describes an algorithmic architecture of an optical character recognition (OCR) system integrated with a Singapore handwritten address interpretation (SHWAI) system. The proposed OCR-SHWAI system generates multiple hypotheses of postcodes, verifies the hypotheses using a postal dictionary, and uses address features to choose among the hypotheses. The performance of this system on a set of 450 fictitious but realistic handwritten mail pieces shows an improvement in sorting performance from 81.6% correct, 6.0% reject, 12.4% error using OCR alone on the postcode to 70.9% correct; 28.5% reject; 0.7% error representing a significant improvement in the error rate

Keywords

document image processing; feature extraction; handwritten character recognition; optical character recognition; postal services; OCR-SHWAI system; Singapore handwritten address interpretation system; address features; algorithmic architecture; automatic handwritten Singapore postal address sorting; error rate; fictitious handwritten mail pieces; holistic verifier; hypothesis verification; multiple hypothesis generation; optical character recognition system; performance; postal dictionary; realistic handwritten mail pieces; Character recognition; Electronic switching systems; Error analysis; Error correction; Humans; Identity-based encryption; Intelligent systems; Microwave integrated circuits; Optical character recognition software; Sorting;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on

Conference_Location

Bangalore

Print_ISBN

0-7695-0318-7

Type

conf

DOI

10.1109/ICDAR.1999.791892

Filename

791892