Comparison_of_optical_character_recognition_software

Comparison of optical character recognition software

Comparison of optical character recognition software

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This comparison of optical character recognition software includes:

  • OCR engines, that do the actual character identification
  • Layout analysis software, that divide scanned documents into zones suitable for OCR
  • Graphical interfaces to one or more OCR engines
  • Software development kits that are used to add OCR capabilities to other software (e.g. forms processing applications, document imaging management systems, e-discovery systems, records management solutions)
More information Name, Founded year ...

Evaluation

A 2016 analysis of the accuracy and reliability of the OCR packages Google Docs OCR, Tesseract, ABBYY FineReader, and Transym, employing a dataset including 1227 images from 15 different categories concluded Google Docs OCR and ABBYY to be performing better than others.[22]

References

  1. [1]
    "ABBYY FineReader 14: Technical Specifications". Finereader.abbyy.com. Retrieved 2017-02-23.
  2. [2]
    "ABBYY FineReader 11: Technical Specifications". Finereader.abbyy.com. Retrieved 2013-09-12.
  3. [3]
    "Top OCR Software". Ocrworld.com. 2010-03-30. Archived from the original on 2017-02-23. Retrieved 2013-09-12.
  4. [4]
    "Asprise OCR SDK Features". asprise.com. Retrieved 2014-06-21.
  5. [5]
    "Asprise Java OCR Library Features". asprise.com. Retrieved 2014-06-21.
  6. [6]
    "Asprise Java, C#/VB.NET OCR API". asprise.com. 2015-11-19. Retrieved 2015-11-19.
  7. [7]
    Debian manual page for Cuneiform for Linux version 1.1.0
  8. [8]
    "OCR SDK Language Packages Download". Dynamsoft.com. Retrieved 2013-09-12.
  9. [9]
    "GOCR Homepage". wasd.urz.uni-magdeburg.de. Retrieved 2018-10-17.
  10. [10]
    "GOCR". Jocr.sourceforge.net. Retrieved 2013-09-12.
  11. [11]
    "Supported languages". Feb 11, 2022.
  12. [12]
    Ashok Popat (Sep 4, 2015). "IEEE SPS: Optical Character Recognition for Most of the World's Languages". YouTube. Archived from the original on 2021-12-20.
  13. [13]
    Diaz, Antonio (2022-01-17). "GNU Ocrad 0.28 released" (Mailing list). info-gnu.
  14. [14]
    OCRopus includes the ocropus-hocr tool which produces hOCR from the recognition results.
  15. [15]
    In combination with the hocr-tools
  16. [16]
    "OmniPage CSDK - OCR Document Capture Toolkit | Document Imaging & OCR". Nuance. Archived from the original on 2010-08-24. Retrieved 2013-09-12.
  17. [17]
    "OmniPage Standard Document Conversion". Nuance. Archived from the original on 2014-03-13. Retrieved 2014-02-25.
  18. [18]
    Based on count of language training files for version 3.04. Available at the download page.
  19. [19]
    Usage explained in the Tesseract Readme and FAQ
  20. [20]
    Such as ODF with OCRFeeder
  21. [21]
    "GitHub - tesseract-ocr/tesseract: Tesseract Open Source OCR Engine (main repository)". GitHub. Retrieved 2018-11-05.
  22. [22]
    Assefi, Mehdi (2016-12-01). "OCR as a Service: An Experimental Evaluation of Google Docs OCR, Tesseract, ABBYY FineReader, and Transym". ResearchGate. Retrieved 2019-01-31.
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