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The recently initiated and rapidly developing research field of ‘human interactive proofs’ (HIPs) and its implications for the document image analysis (DIA) research field are described. Over the last five years, efforts to defend Web services against abuse by programs (‘bots’) have led to a new family of security protocols able to distinguish between human and machine users. AltaVista pioneered this...
A CAPTCHA which humans find to be highly legible and which is designed to resist automatic character–segmentation attacks is described. As first detailed in [BR05], these ‘ScatterType’ challenges are images of machine-print text whose characters have been pseudorandomly cut into pieces which have then been forced to drift apart. This scattering is designed to repel automatic segment-then-recognize...
Whole-book recognition is a document image analysis strategy that operates on the complete set of a book's page images using automatic adaptation to improve accuracy. Our algorithm expects to be given approximate iconic and linguistic models-derived from (generally errorful) OCR results and (generally incomplete) dictionaries-and then, guided entirely by evidence internal to the test set, corrects...
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