Corpus ID: 199002408

Suitability of OCR Engines in Information Extraction Systems : a Comparative Evaluation

@inproceedings{Erlandsson2019SuitabilityOO,
  title={Suitability of OCR Engines in Information Extraction Systems : a Comparative Evaluation},
  author={Zacharias Erlandsson},
  year={2019}
}
  • Zacharias Erlandsson
  • Published 2019
  • Computer Science
  • Previous research has compared the performance of OCR (optical character recognition) engines strictly for character recognition purposes. However, comparisons of OCR engines and their suitability ... 

    References

    SHOWING 1-10 OF 29 REFERENCES
    An Overview of the Tesseract OCR Engine
    • R. Smith
    • Computer Science
    • Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)
    • 2007
    • 1,053
    • Highly Influential
    • PDF
    A Complete OCR System Development of Tamil Magazine Documents
    • 13
    • Highly Influential
    • PDF
    The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]
    • L. Deng
    • Computer Science
    • IEEE Signal Processing Magazine
    • 2012
    • 612
    • PDF
    Handbook of Document Image Processing and Recognition
    • 117
    • PDF
    Historical review of OCR research and development
    • 902
    Systems for Handwritten Gurmukhi Script – A Survey
    • 24
    • PDF
    Scraping the ACM Digital Library
    • 23
    • PDF
    Message Understanding Conference- 6: A Brief History
    • 1,306
    • PDF
    OCR Post-Processing Error Correction Algorithm using Google Online Spelling Suggestion
    • 79
    • PDF