Post-correction of OCR Errors Using PyEnchant Spelling Suggestions Selected Through a Modified Needleman–Wunsch Algorithm-Reference-Cited by-同舟云学术

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Post-correction of OCR Errors Using PyEnchant Spelling Suggestions Selected Through a Modified Needleman–Wunsch Algorithm

Published:2018 Issue: Volume: Page:3-10
ISSN:1865-0929
Container-title:HCI International 2018 – Posters' Extended Abstracts
language:
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Author:

Cappelatti Ewerton,De Oliveira Heidrich Regina,Oliveira Ricardo,Monticelli Cintia,Rodrigues Ronaldo,Goulart Rodrigo,Velho Eduardo

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-92270-6_1

Reference10 articles.

1. Smith, R.: An overview of the Tesseract OCR engine. In: Proceedings of the Ninth International Conference on Document Analysis and Recognition, ICDAR 2007, vol. 2, pp. 629–633 (2007)

2. Ryan, K.: PyEnchant: a spellchecking library for Python. http://pythonhosted.org/pyenchant/faq.html . Accessed 05 Oct 2017

3. Needleman, S.B., Wunsch, C.D.: A general method applicable to the search for similarities in the amino acid sequence of two proteins. J. Mol. Biol. 48(3), 443–453 (1970)

4. Volk, M., Furrer, L., Sennrich, R.: Strategies for reducing and correcting OCR error. In: Sporleder, C., van den Bosch, A., Zervanou, K. (eds.) Language Technology for Cultural Heritage, pp. 3–22. Springer, Berlin (2011). https://doi.org/10.1007/978-3-642-20227-8_1

5. Kissos, I., Dershowitz, N.: OCR error correction using character correction and feature-based word classification. In: Proceedings of the 12th IAPR Workshop on Document Analysis Systems, pp. 198–203 (2016)

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