Ancient documents bleed-through evaluation and its application for predicting OCR error rates

V. Rabeux; N. Journet; J. P. Domenger

doi:10.1117/12.873368

24 January 2011 Ancient documents bleed-through evaluation and its application for predicting OCR error rates

V. Rabeux, N. Journet, J. P. Domenger

Proceedings Volume 7874, Document Recognition and Retrieval XVIII; 78740Q (2011) https://doi.org/10.1117/12.873368
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

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.

Citation Download Citation

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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