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- W2100057602 abstract "This paper deals with the discrimination between machine-printed and handwritten text, a prerequisite for many OCR applications. An easy-to-follow approach is proposed based on an integrated system able to localize text areas and split them in text-lines. A set of simple structural characteristics that capture the differences between machine-printed and handwritten text-lines is presented and preliminary experiments on document images taken from databases of different languages and characteristics show a remarkable performance." @default.
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- W2100057602 date "2004-12-23" @default.
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- W2100057602 title "Machine-Printed from Handwritten Text Discrimination" @default.
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- W2100057602 doi "https://doi.org/10.1109/iwfhr.2004.65" @default.
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