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Machine Print Filter for Handwriting Analysis

Abstract : Existing document decomposition models fail in well separating the zone areas of printed text and handwritten text when they are close or even touching each other. This paper presents a simple and robust algorithm to filter out the printed content in a mixed document. Following the traditional bottom-up approach, the printed text candidates are extracted and detected in the connected component level. Then the relative spatial relation and windowbased filter help providing useful information to decide the components to be removed finally. Results with manually cropped signature blocks that contain extraneous printed text show that over 85% of printed text components are removed while preserving handwritten content.
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https://hal.inria.fr/inria-00112683
Contributor : Anne Jaigu <>
Submitted on : Thursday, November 9, 2006 - 3:23:51 PM
Last modification on : Tuesday, August 13, 2019 - 11:40:13 AM
Long-term archiving on: : Tuesday, April 6, 2010 - 10:02:43 PM

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  • HAL Id : inria-00112683, version 1

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Siyuan Chen, Sargur Srihari. Machine Print Filter for Handwriting Analysis. Tenth International Workshop on Frontiers in Handwriting Recognition, Université de Rennes 1, Oct 2006, La Baule (France). ⟨inria-00112683⟩

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