Pen Trace Reconstruction with Skeleton Representation of a Handwritten Text Image

Abstract

This paper presents a new approach for the pen trace reconstruction task in handwritten text images. The proposed approach is based on the skeleton representation of a binary image which provides sufficient information about the pen movement trajectory during the writing. As such, the initial problem can be viewed as a problem of constructing a specific walk in the skeleton graph covering all its edges. The proposed approach consists of splitting the graph into structural elements and estimating the pen movement direction in each of them with the resulting trace being composed of the traces of these elements.