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Voting-Based Ocr System

Author

Listed:
  • Costin-Anton Boiangiu

    (Politehnica University of Bucharest, Bucharest, Romania)

  • Radu Ioanitescu

    (Politehnica University of Bucharest, Bucharest, Romania)

  • Razvan-Costin Dragomir

    (Politehnica University of Bucharest, Bucharest, Romania)

Abstract

Current solutions for performing Optical Character Recognition (OCR) in both academic and commercial environments have good recognition capabilities but each one of them has limitations as a consequence of the assumptions made for the defining algorithmic approach. This paper aims to define a new OCR method that combines the results from different algorithms and/or engines. Because we know in advance the specific characteristics of each OCR approach in a given context, a voting algorithm can be applied between their results. The final result of the proposed method is a combination of the different algorithms and exhibits better characteristics than any individual version taken separately. Furthermore, we propose a fully integrated solution containing voting-based approaches for all the preprocessing stages necessary in a complete OCR solution: image binarization, image segmentation, and layout analyze.

Suggested Citation

  • Costin-Anton Boiangiu & Radu Ioanitescu & Razvan-Costin Dragomir, 2016. "Voting-Based Ocr System," Romanian Economic Business Review, Romanian-American University, vol. 10(2), pages 470-486, December.
    • Handle: RePEc:rau:journl:v:10:y:2016:i:2:p:470-486
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    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/WI16/JISOM-WI16-A19.pdf
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    References listed on IDEAS

    as
    1. Costin-Anton Boiangiu & Mihai Simion & Vlad Lionte & Zaharescu Mihai, 2014. "Voting Based Image Binarization," Romanian Economic Business Review, Romanian-American University, vol. 8(2), pages 343-351, December.
    2. Costin-Anton Boiangiu & Radu Ioanitescu, 2013. "Voting-Based Image Segmentation," Romanian Economic Business Review, Romanian-American University, vol. 7(2), pages 211-220, December.
    3. Costin-Anton Boiangiu & Mihai Cristian Tanase & Radu Ioanitescu, 2013. "Text Line Segmentation In Handwritten Documents Based On Dynamic Weights," Romanian Economic Business Review, Romanian-American University, vol. 7(2), pages 247-254, December.
    4. Costin-Anton Boiangiu & Paul Boglis & Georgiana Simion & Radu Ioanitescu, 2014. "Voting-Based Layout Analysis," Romanian Economic Business Review, Romanian-American University, vol. 8(1), pages 39-47, May.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Thomas Hegghammer, 2022. "OCR with Tesseract, Amazon Textract, and Google Document AI: a benchmarking experiment," Journal of Computational Social Science, Springer, vol. 5(1), pages 861-882, May.

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