The efficiency of document image processing techniques depends on image quality that is impaired by many sources of degradation. These sources can be in document itself or arise from the acquisition process. In this paper, we are concerned with blur degradation without any prior knowledge on the blur origin. We propose to evaluate the blur parameter at local level on predefined zones without relying on any blur model. This parameter is linked to a fuzzy statistical analysis of the textual part of the document extracted in the initial image. The proposed measure is evaluated on DIQA database where the correlation between blur degree and OCR accuracy is computed. The results show that our blur estimation can help to predict OCR accuracy.
CITATION STYLE
Kieu, V. C., Cloppet, F., & Vincent, N. (2015). BNRFBE method for blur estimation in document images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9386, pp. 3–14). Springer Verlag. https://doi.org/10.1007/978-3-319-25903-1_1
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