Automated evaluation of OCR zoning

Automated evaluation of OCR zoning

Many current optical character recognition (OCR) systems attempt to decompose printed pages into a set of zones, each containing a single column of text, before converting the characters into coded form. The authors present a methodology for automatically assessing the accuracy of such decomposition...

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Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence 1995-01, Vol.17 (1), p.86-90
Hauptverfasser: Kanai, J., Rice, S.V., Nartker, T.A., Nagy, G.
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Artificial intelligence
Character recognition
Computer science
control theory
systems
Error correction
Exact sciences and technology
Graphics
Image analysis
Image converters
Image segmentation
Optical character recognition software
Pattern recognition. Digital image processing. Computational geometry
Performance analysis
System testing
Text recognition
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Beschreibung
Zusammenfassung:Many current optical character recognition (OCR) systems attempt to decompose printed pages into a set of zones, each containing a single column of text, before converting the characters into coded form. The authors present a methodology for automatically assessing the accuracy of such decompositions, and demonstrate its use in evaluating six OCR systems.< >
ISSN:0162-8828
1939-3539
DOI:10.1109/34.368146