Location and recognition of legal amounts on Chinese bank cheques

C. L. Yu, C. Y. Suen, Yuan Y. Tang

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

2 Citations (Scopus)

Abstract

This paper describes a Chinese cheque processing system currently under development at the Centre for Pattern Recognition and Machine Intelligence (CENPARMI). The information on Chinese bank cheques is not the same as that on alphanumeric bank cheques. The legal amount in a Chinese bank cheque is the Chinese character text associated with each currency unit. This paper discusses a technique using each currency unit as a key word to locate/extract the legal amount in bank cheques. In the analysis and recognition process, the system tries to locate the smallest currency units in the image and identifies it first. Then, the system tries to locate the image strings associated with each currency unit. Each image string is separated and recognized. Next, a set of rules and context are applied to recognize the characters. In order to choose the correct one, the recognized character string is accepted only if it satisfies all the conditions governed by rules.
Original languageEnglish
Title of host publicationProceedings of the Fourth International Conference on Document Analysis and Recognition. Volume 2
EditorsBob Werner
PublisherIEEE Canada
Pages588-591
Number of pages4
ISBN (Print)0818678984
DOIs
Publication statusPublished - 18 Aug 1997
Externally publishedYes
Event4th International Conference on Document Analysis and Recognition, ICDAR 1997 - Ulm, Germany
Duration: 18 Aug 199720 Aug 1997
https://ieeexplore.ieee.org/xpl/conhome/4891/proceeding (Conference proceedings)

Conference

Conference4th International Conference on Document Analysis and Recognition, ICDAR 1997
Country/TerritoryGermany
CityUlm
Period18/08/9720/08/97
Internet address

User-Defined Keywords

  • Law
  • Legal factors
  • Image segmentation
  • Image analysis
  • Character recognition
  • Pattern recognition
  • Machine intelligence
  • Optical character recognition software
  • Image recognition
  • Text analysis

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