In this paper a complete OCR methodology for recognizing historical documents, either printed or handwritten without any knowledge of the font, is presented. This methodology cons...
This paper presents a new use of the Curvelet transform as a multiscale method for indexing linear singularities and curved handwritten shapes in documents images. As it belongs t...
This paper lies on the field of ancient patrimonial books valorization: it precisely relates to the development of suitable assistance tools for humanists and historians to help t...
ABSTRACT: OCR is an error-prone process. It is time-consuming and expensive to manually proofread OCR results. The errors remaining in OCRed texts can cause serious problems in rea...
Traditional image retrieval techniques search for images without considering the query context. When they are applied to applications like annotating text with images, the results...