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Machine-printed from handwritten text discrimination

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3 Author(s)
Kavallieratou, E. ; TEI, Ionian Islands, Greece ; Stamatatos, S. ; Antonopoulou, H.

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.

Published in:

Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004. Ninth International Workshop on

Date of Conference:

26-29 Oct. 2004