Text processing: Robust character recognition using calibrated text and diversified feature set

D. C.Douglas Hung, Y. Chen, R. Chen, T. Cheng

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

Abstract

An effective algorithm for a high-performance character recognition system for printed text is presented. The system investigates characters with different aspects of the characteristics to optimize recognition performance. The research is implemented by two major phases: pattern learning and character matching. Therefore, it is not only possible to recognize characters, but also to update the database if any new pattern is detected. An initial implementation of all parts of the proposed system is reported, showing an overall recognition rate of 99.9%.

Original languageEnglish (US)
Title of host publicationThird Int Conf Tools Artif Intell
PublisherPubl by IEEE
Pages528-529
Number of pages2
ISBN (Print)0818623004
StatePublished - Jan 1 1992
EventThird International Conference on Tools for Artificial Intelligence - San Jose, CA, USA
Duration: Nov 5 1991Nov 8 1991

Publication series

NameThird Int Conf Tools Artif Intell

Other

OtherThird International Conference on Tools for Artificial Intelligence
CitySan Jose, CA, USA
Period11/5/9111/8/91

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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