Title :
Line extraction and stroke ordering of text pages
Author :
Abuhaiba, I.S.I. ; Datta, S. ; Holt, M.J.J.
Author_Institution :
Dept. of Comput. Eng., King Saud Univ., Riyadh, Saudi Arabia
Abstract :
A method is developed to extract lines from pages of handwritten text by finding the shortest spanning tree of a graph formed from the set of main strokes. Main strokes of extracted lines are arranged in the same order as they were written by following the path in which they are contained. Then, every secondary stroke is assigned to the closest main stroke. At the end, an ordered list of main strokes each with the corresponding number of assigned secondary strokes is obtained. Each combination of main-secondary strokes can be the input to a subsequent recognition stage. The method is more suited to variable handwriting
Keywords :
character recognition; handwriting recognition; closest main stroke; handwritten text; line extraction; ordered list; shortest spanning tree; stroke ordering; text pages; variable handwriting; Mood; Text recognition; Tree graphs; Writing;
Conference_Titel :
Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-8186-7128-9
DOI :
10.1109/ICDAR.1995.599020
