Title :
A Method to Segment the Marked Regions in Document Images
Author :
Chen, YouGuang ; Yang, RuiGuo ; Guo, Jun ; Zhu, Min
Author_Institution :
Comput. Center, East China Normal Univ., Shanghai, China
Abstract :
It´s very popular to mark the concerned regions on a document using a mark pen. How to detect the marked regions in the scanned document images is a difficult problem. In this paper, an approach to solve the above problem is proposed. First, the color pixels and run-length are detected. And then, the mark-lines of document can be attained by using run-length. Finally, the mark-lines to get the marked regions are analyzed. Experimental results show the proposed method has high accuracy. Furthermore, it can be applied to many practical problems.
Keywords :
document image processing; image colour analysis; image segmentation; object detection; color pixels detection; document mark-lines; mark pen; marked region detection; marked region segmentation; run-length detection; scanned document images; Accuracy; Clustering algorithms; Computers; Graphics; Image color analysis; Image segmentation; Optical character recognition software; document images; mark-line; marked regions; run-length;
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
DOI :
10.1109/ICICEE.2012.123
