Abstract
Optical character recognition (OCR) suffers from less than 100% recognition rate for handwritten documents. Main sources of the imperfections are
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1.
the poor quality of images
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2.
flaws in recognition algorithms. Some of these can be indeed improved
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Citations
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© 1994 Springer-Verlag Berlin Heidelberg
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Koh, I.G. et al. (1994). Improvement of OCR by Language Model. In: Impedovo, S. (eds) Fundamentals in Handwriting Recognition. NATO ASI Series, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-78646-4_18
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DOI: https://doi.org/10.1007/978-3-642-78646-4_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-78648-8
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