scholarly journals A Joint Transform Correlator Using Multiple Reference Patterns and Its Application for Character Recognition.

1995 ◽  
Vol 49 (1) ◽  
pp. 38-45
Author(s):  
Senshi Nasu ◽  
Yasuo Suzuki ◽  
Minoru Kohata ◽  
Tasuku Takagi
Keyword(s):  
Character Recognition ◽  
Joint Transform Correlator ◽  
Multiple Reference

Multiple reference points in pay satisfaction assessments

1997 ◽  
Author(s):  
Lisa Ordonez ◽  
Terry Connolly ◽  
Richard Coughlan
Keyword(s):  
Reference Points ◽  
Pay Satisfaction ◽  
Multiple Reference

A Structured Method for the Recognition of Complex Historical Tables

1997 ◽  
Vol 9 (1-3) ◽  
pp. 58-77
Author(s):  
Vitaly Kliatskine ◽  
Eugene Shchepin ◽  
Gunnar Thorvaldsen ◽  
Konstantin Zingerman ◽  
Valery Lazarev
Keyword(s):  
Nineteenth Century ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Complex Structure ◽  
Source Material ◽  
Historical Sources ◽  
Tax Assessment ◽  
Optical Character ◽  
Algorithmic Model ◽  
Machine Readable

In principle, printed source material should be made machine-readable with systems for Optical Character Recognition, rather than being typed once more. Offthe-shelf commercial OCR programs tend, however, to be inadequate for lists with a complex layout. The tax assessment lists that assess most nineteenth century farms in Norway, constitute one example among a series of valuable sources which can only be interpreted successfully with specially designed OCR software. This paper considers the problems involved in the recognition of material with a complex table structure, outlining a new algorithmic model based on ‘linked hierarchies’. Within the scope of this model, a variety of tables and layouts can be described and recognized. The ‘linked hierarchies’ model has been implemented in the ‘CRIPT’ OCR software system, which successfully reads tables with a complex structure from several different historical sources.

Sign in / Sign up

Export Citation Format

Share Document