Towards a Higher Accuracy of Optical Character Recognition of Chinese Rare Books in Making Use of Text Model
Hsiang-An Wang, Pin-Ting Liu · 2019
The legibility of the text of rare books is often subject to precarious conditions: natural decay or erosion, and ink bleed caused by flawed printing methods centuries ago often make such texts difficult to recognize. This difficulty hardens the challenge for optical character recognition (OCR), whose task is to convert images of printed text into machine-encoded text when the rare book has been digitized.