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- Title
OCR QUALITY IMPROVEMENT USING IMAGE PREPROCESSING.
- Authors
Badoiu, Vlad; Ciobanu, Andrei-Constantin; Craitoiu, Sergiu
- 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.
- Subjects
OPTICAL character recognition; TEXT recognition; IMAGE enhancement (Imaging systems); NOISE control research; BINARY control systems
- Publication
Journal of Information Systems & Operations Management, 2016, Vol 10, Issue 1, p1
- ISSN
1843-4711
- Publication type
Article