Title : 
Ruling Line Removal in Handwritten Page Images
         
        
            Author : 
Lopresti, Daniel ; Kavallieratou, Ergina
         
        
            Author_Institution : 
Dept. of Comput. Sci. & Eng., Lehigh Univ., Bethlehem, PA, USA
         
        
        
        
        
        
            Abstract : 
In this paper we present a procedure for removing ruling lines from a handwritten document image that does not break existing characters. We take advantage of common ruling line properties such as uniform width, predictable spacing, position vs. text, etc. The proposed process has no effect on document images without ruling lines, hence no a priori discrimination is required. The system is evaluated on synthetic page images in five different languages.
         
        
            Keywords : 
document image processing; handwriting recognition; handwritten document image; handwritten page images; predictable spacing; ruling line removal; uniform width; Feature extraction; Image restoration; Noise; Pixel; Robustness; Text analysis; Training;
         
        
        
        
            Conference_Titel : 
Pattern Recognition (ICPR), 2010 20th International Conference on
         
        
            Conference_Location : 
Istanbul
         
        
        
            Print_ISBN : 
978-1-4244-7542-1
         
        
        
            DOI : 
10.1109/ICPR.2010.663