In this paper, we present a study on OCR performance estimation aiming to control the quality of word transcriptions achieved by OCR.

OCR performance is estimated using support vector regression. This predictor uses some global features computed on the cross-alignment results. The ...

OCR performance is estimated using support vector regression. This predictor uses some global features computed on the cross-alignment results. The ...

A study on OCR performance estimation aiming to control the quality of word transcriptions achieved by OCR, which relies on cross alignment of the OCR ...

In this paper, we present a study on OCR performance estimation aiming to control the quality of word transcriptions achieved by OCR. This quality assessment ...

Dec 5, 2024 · The process begins with model-based pre-annotation, proceeds with cross-validation by different models, and culminates in manual correction ...

OCR performance prediction using cross-OCR alignment pp. 556-560. Shape-based ... Document image OCR accuracy prediction via latent Dirichlet allocation pp.

Oct 31, 2022 · Salah, J.P. Moreux, N. Ragot, and T. Paquet. Ocr performance prediction using cross-ocr alignment. pages. 556–560, 2015. doi: 10.1109/ICDAR ...

OCR performance prediction using cross-OCR alignment. AB Salah, J philippe Moreux, N Ragot, T Paquet. 2015 13th International Conference on Document Analysis ...

OCR performance is estimated using support vector regression. This predictor uses some global features computed on the cross-alignment results. The ...