Share Email Print
cover

Proceedings Paper

Page segmentation and classification algorithm for skewed document images with graph regions
Author(s): Jiajun Wang; Xianwu Huang; Xingrong Zhong; Weiwei Guo
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In this paper, a system for the segmentation and classification of the skewed document images with graph regions is proposed. In this system, the skewed angles of the document images are detected with a novel algorithm based on the morphological operation of Hit-or-Miss and the Hierarchical Hough transformation. To make the system valid for document images with graph regions, we proposed to introduce a middle point cut process to the traditional recursive X-Y cuts (RXYC) segmentation algorithm so that the graph regions can be approximated with a lot of small rectangles. The segmented regions are classified by two features of BWR and CC, which represent respectively the black to white pixel ratio and the cross-correlation between pixels of the sub-blocks. Experimental results have proved the fastness and the reliability of the system proposed in this paper.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539076
Show Author Affiliations
Jiajun Wang, Soochow Univ. (China)
Xianwu Huang, Soochow Univ. (China)
Xingrong Zhong, Soochow Univ. (China)
Weiwei Guo, Soochow Univ. (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top