User-assisted ink-bleed correction for handwritten documents
Yizhong Huang, Michael S. Brown · 2008
We describe a user-assisted framework for correcting ink-bleed in old handwritten documents housed at the National Archives of Singapore (NAS). Our approach departs from traditional correction techniques that strive for full automation. Fully-automated approaches make assumptions about ink-bleed characteristics that are not valid for all inputs. Furthermore, fully-automated approaches often have to set algorithmic parameters that have no meaning for the end-user. In our system, the user needs only to provide simple examples of ink-bleed, foreground ink, and background. These training examples are used to classify the remaining pixels in the document to produce a computer-generated result that is equal to or better than existing fully-automated approaches.