A graph-based method to remove interferential curve from text image

被引：2
|
作者：
Cheng, Zhiguo [1 ]
Liu, Yuncai [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 20030, Peoples R China
来源：
MACHINE VISION AND APPLICATIONS | 2006年 / 17卷 / 04期
关键词：
interferential curve; principal curve; basic graph; super graph; DFS;
D O I：
10.1007/s00138-006-0033-3
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A general algorithm for eliminating interferential curve in text image was proposed, which converted images into basic graph and super graph first, and then the interferential curve was treated as principal curve to be detected. In the detection, improved DFS algorithm, shortest path algorithm and orientation offset algorithm were used. Finally, the detected curve was removed from the original image, leaving only text in the image. Experiments conducted with a variety of text images showed that this algorithm is effective in removing interferential curve from text image.
引用
收藏
页码：219 / 228
页数：10
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