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inria-00112683, version 1

Machine Print Filter for Handwriting Analysis

Siyuan Chen () 1, Sargur Srihari () 1

Tenth International Workshop on Frontiers in Handwriting Recognition (2006)

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.

  • 1:  Center of Excellence for Document Analysis and Recognition (CEDAR)
  • State University of New York at Buffalo
  • Domain : Computer Science/Document and Text Processing
    Computer Science/Computer Vision and Pattern Recognition
  • Keywords : Document decomposition – image enhancement – Fisher linear discriminant – signature processing
  • Comment : http://www.suvisoft.com
 
  • inria-00112683, version 1
  • oai:hal.inria.fr:inria-00112683
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  • Submitted on: Thursday, 9 November 2006 15:23:51
  • Updated on: Thursday, 9 November 2006 16:51:24