LINE REMOVAL AND CHARACTER RESTORATION USING BAG REPRESENTATION OF FORM IMAGES
S.H. Kim, Seongsin Jeon, H.K. Kwag · 2004
This paper proposes a new algorithm for text/lines separation in forms processing. It can detect and remove various styles of horizontal lines, such as lines rotated up to ± 45, lines that are curved a little, dashed lines, lines with non-uniform thickness, and so on. After removing the line, it recovers character strokes distorted by the deleted lines. All the operations are performed efficiently with a BAG (Block Adjacency Graph) representation of the input binary image. An experiment with 200 samples, in which handwritten Korean characters are written on a guiding line, show a superiority of our algorithm - 96.5% accuracy and about 1 second of processing time per sample.