Fast Detection and Removal Algorithms for Ruled Lines in Full-Color Scanned Handwritten Documents
Mohammed A. A. Refaey · 2014
Converting handwritten documents into its machine written counterpart automatically requires several processes including removing background noise and ruled lines, then Optical Character Recognition. In this paper, we present a fast detection and removal algorithms for ruled lines in colored scanned handwritten documents. The ruled lines detection is based on Hough transform of the centralized 1/9 th image rectangle. Once the ruled lines are detected, the removal process or text isolation has been developed based on the hue histogram segmentation in full-color image documents. The early results show a very promising effectiveness and reliability of the proposed method.