VOTING-BASED OCR SYSTEM
Costin-Anton Boiangiu (),
Radu Ioanitescu () and
Razvan-Costin Dragomir ()
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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
Journal of Information Systems & Operations Management, 2016, vol. 10, issue 2, 470-486
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.
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:10:y:2016:i:2:p:470-486
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