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Titlebook: Handbook of Document Image Processing and Recognition; David Doermann,Karl Tombre Reference work 2014 Springer-Verlag London 2014 Computer

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Herwart Opitz,Klaus Beckenbauers the presentation of the different scripts used, their characteristics, the techniques used especially for them, and the difficulties and challenges faced by researchers to treat them. The chapter will also make a rapid review of the best systems evaluated during international competitions, of publ
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https://doi.org/10.1007/978-3-663-05048-3pts such as Chinese, Japanese, and Korean (CJK) and scripts from the Indian subcontinent (Indic) such as Devanagari, Bangla, and the scripts of South India. Since these scripts have attracted the greatest interest from the document analysis community and cover most of the issues potentially encounte
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The Evolution of Document Image Analysisy be able to read any document. History has proven that the task was more difficult than that. This chapter explores the history of the document analysis and recognition domain, from OCR to page analysis and on to the open problems which are still to be completely dealt with.
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Page Similarity and Classification such as maps. In most cases, humans are capable of discerning the type of document and therefore its function without . the actual textual content. This is possible because the layout of one document often reflects its type. For instance, invoices are more visually similar to one another than they
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Language, Script, and Font Recognitionth the shape, size, and style of the characters and symbols used in the formation of the text but also admixed with more crucial factors such as the forms and size of pages, layout of written text, spacing between text lines, design of characters, density of information, directionality of text compo
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