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Improving OCR Accuracy Through Multi-Classifier Verification of Visually Similar Characters
Distinguishing visually similar characters is a persistent challenge for optical character recognition (OCR) systems, causing errors in critical applications of text digitization. While preprocessing techniques improve image quality and word-level post-processing corrects spelling errors, neither ad
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