OCR QUALITY IMPROVEMENT USING IMAGE PREPROCESSING

Vlad Badoiu (), Andrei-Constantin Ciobanu () and Sergiu Craitoiu ()
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Vlad Badoiu: ”Politehnica” University of Bucharest, Bucharest, Romania
Andrei-Constantin Ciobanu: ”Politehnica” University of Bucharest, Bucharest, Romania
Sergiu Craitoiu: ”Politehnica” University of Bucharest, Bucharest, Romania

Journal of Information Systems & Operations Management, 2016, vol. 10, issue 1, 240-252

Abstract: Optical character recognition (OCR) remains a difficult problem for noisy documents or documents scanned at low resolution. Many current approaches rely on stored font models that are vulnerable to cases in which the document is noisy or is written in a font dissimilar to the stored fonts. In this paper we test two approaches for preprocessing, or correcting the input images. The focus is on noise reduction, lightness correction and binarization, all relative to found letters with a slow but more accurate method and a fast and less accurate method. We then compare the results and see if the extra time spent in developing more complex letter deduction technique offers significant improvements.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:10:y:2016:i:1:p:240-252

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