El próximo día 2 de febrero (martes) nos visita la profesora Ergina Kavallieratou (http://www.icsd.aegean.gr/lecturers/kavallieratou/) de la Universidad del Egeo, de Grecia. Impartirá una conferencia titulada “Document image binarization and evaluation of binarization algorithms”. La conferencia será el martes, 2 de febrero, a las 12, en el seminario 1 de la segunda planta del DSIC (2S01).
Resumen:
It is common for libraries to provide public access to historical and ancient document image collections. It is common for such document images to require specialized processing in order to remove background noise and become more legible. We present a hybrid binarizatin approach for improving the quality of old documents using a combination of global and local thresholding. First, a global thresholding technique specifically designed for old document images is applied to the entire image. Then, the image areas that still contain background noise are detected and the same technique is re-applied to each area separately. Hence, we achieve better adaptability of the algorithm in cases where various kinds of noise coexist in different areas of the same image while avoiding the computational and time cost of applying a local thresholding in the entire image. Evaluation results based on a collection of historical document images indicate that the proposed approach is effective in removing background noise and improving the quality of degraded documents while documents already in good condition are not affected.
Moreover, a new technique for the validation of document binarization algorithms is proposed. Our method is simple in its implementation and it can be applied to any binarization algorithm since it doesn?t require anything more than the binarization stage. It is based on the use of synthetic images from pdf document. Then the binarization algorithm is applied and the result is compared with the original pdf. Results on more than 40 binarization techniques are presented.
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