Segment coding and automated document recognition

T. Y. Wang*, C. C. Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a very simple document recognition method called 'segment coding'. The method entails partitioning of a document into square segments of a given size and encode each segment according to the ratio of the numbers of black and white pixels inside the segment. The segment code is used as document feature for recognition. We show an experimental prototype which performs extremely well. We also show some analytical results including system parameter optimization and system performance versus database size. It is shown that the system is fast, flexible, extremely accurate and can accommodate a huge number of documents without significantly degrading recognition accuracy.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Pages1393-1404
Number of pages12
Editionpt 3
ISBN (Print)0819402389, 9780819402387
DOIs
StatePublished - 1989
EventVisual Communications and Image Processing IV - Philadelphia, PA, USA
Duration: Nov 8 1989Nov 10 1989

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Numberpt 3
Volume1199
ISSN (Print)0277-786X

Other

OtherVisual Communications and Image Processing IV
CityPhiladelphia, PA, USA
Period11/8/8911/10/89

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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