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

Vincent Rabeux (1) , Nicholas Journet (1) , Jean-Philippe Domenger (1)

1 LaBRI - Laboratoire Bordelais de Recherche en Informatique

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.

Domaines: Traitement des images [eess.IV]

Vincent Rabeux, Nicholas Journet, Jean-Philippe Domenger. Ancient documents bleed-through evaluation and its application for predicting OCR error rates. Document Recognition and retrieval, Jan 2011, San fransisco, United States. pp.78740Q. ⟨hal-00570247⟩