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24 January 2011 Ancient documents bleed-through evaluation and its application for predicting OCR error rates
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Abstract
This article presents a way to evaluate the bleed-through defect on very old document images. We design measures to quantify and evaluate the verso ink bleeding through the paper onto the recto side. Measuring the bleed-through defect alows us to perform statistical analysis that are able to predict the feasibility of different post-scan tasks. In this article we choose to illustrate our measures by creating two OCR error rate predicting models based bleed-through evaluation. Two models are proposed, one for Abbyy FineReader * which is a very power-full commercial OCR and OCRopus † which is sponsored by Google. Both prediction models appears to be very accurate when calculating various statistic indicators.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
V. Rabeux, N. Journet, and J. P. Domenger "Ancient documents bleed-through evaluation and its application for predicting OCR error rates", Proc. SPIE 7874, Document Recognition and Retrieval XVIII, 78740Q (24 January 2011); https://doi.org/10.1117/12.873368
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