ON PERFORMING SKEW DETECTION AND CORRECTION USING MULTIPLE EXPERTS' DECISION

Nicolae Tarbă (), Daniel Schmidt (), Anda - Elena Popovici (), Eduard Stăniloiu (), Cristian Avatavului () and Marcel Prodan ()
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Nicolae Tarbă: University Politehnica of Bucharest, Bucharest, Romania
Daniel Schmidt: University Politehnica of Bucharest, Bucharest, Romania
Anda - Elena Popovici: University Politehnica of Bucharest, Bucharest, Romania
Eduard Stăniloiu: University Politehnica of Bucharest, Bucharest, Romania
Cristian Avatavului: University Politehnica of Bucharest, Bucharest, Romania

Journal of Information Systems & Operations Management, 2020, vol. 14, issue 2, 188-195

Abstract: One of the main objectives of image processing algorithms is extracting information. An important class of such algorithms is the one responsible for Optical Character Recognition (OCR). A common problem among OCR systems is the need to work with properly oriented images. The process of finding the skew angle and rotating the initial image by its opposite is known as deskew. This paper presents a voting-based approach to solve the document deskew problem, combining results from different algorithms to cover a wide range of document types. The proposed method proved both precise and reliable, suitable to be integrated into mass-production retroconversion systems.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:14:y:2020:i:2:p:188-195

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