Machine Print Filter for Handwriting Analysis
Siyuan Chen, Sargur N. Srihari · 2006
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 candi-dates are extracted and detected in the connected compo-nent level. Then the relative spatial relation and window-based 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