Title: Fast Detection and Removal Algorithms for Ruled Lines in Full-Color Scanned Handwritten Documents

Year of Publication: Dec - 2014
Page Numbers: 77-80
Authors: Mohammed A. A. Refaey
Conference Name: The International Conference on Computer Science, Computer Engineering, and Social Media (CSCESM2014)
- Greece


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 1/9th 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.