An implementation of postal numerals segmentation and recognition system for Chinese business letters

Yue Lu, Pengfei Shi, Jianzhong Wu, Jianming Rui

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

1 Scopus citations

Abstract

In this paper, a practical postal numeral segmentation and recognition system for Chinese business letters is presented. Line information for the address blocks is gained from the envelope image by projection, then the sub-image of the postal numerals is segmented. The numerals are recognized by three independent classifiers, and their results are combined to form final results. An improved voting principle based on a priori knowledge of each classifier is utilized to combine multiple classifiers in order to achieve perfect performance for high recognition rate and low error rate. The recognition ability of each classifier, acting with the voting principle, is obtained by statistics for a large set of samples. Different thresholds gained by training are employed for different classes, which can yield better results. A parallel structure hardware is designed to implement a real-time image processing system. The performance of the system is shown to be satisfactory, sufficient for the requirements of practical use.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999
PublisherIEEE Computer Society
Pages729-732
Number of pages4
ISBN (Electronic)0769503187
DOIs
StatePublished - 1999
Externally publishedYes
Event5th International Conference on Document Analysis and Recognition, ICDAR 1999 - Bangalore, India
Duration: 20 Sep 199922 Sep 1999

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
ISSN (Print)1520-5363

Conference

Conference5th International Conference on Document Analysis and Recognition, ICDAR 1999
Country/TerritoryIndia
CityBangalore
Period20/09/9922/09/99

Keywords

  • Chinese business letter
  • Combination of multiple classifiers
  • Numeral recognition
  • Postal numeral
  • Real-time system
  • Segmentation
  • Voting principle

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