Sciweavers

ICPR
2006
IEEE

A Robust Split-and-Merge Text Segmentation Approach for Images

14 years 4 months ago
A Robust Split-and-Merge Text Segmentation Approach for Images
In this paper we describe a robust approach to segment text from color images. The proposed approach mainly includes four steps. Firstly, a preprocessing step is utilized to enhance text blocks in images; Secondly, these image blocks are split into connected components and most of them are eliminated by a component filtering procedure; Thirdly, the left connected components are merged into several text layers, and a set of appropriate constraints are applied to find the real text layer; finally, the text layer is refined through a post-processing step to generate a binary output. Our experimental results show that the proposed approach has a good performance in character recognition rate and processing speed. Moreover, it is robust to text color, font size, as well as different styles of characters in different languages.
Weiqiang Wang, Wen Gao, Yaowen Zhan
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2006
Where ICPR
Authors Weiqiang Wang, Wen Gao, Yaowen Zhan
Comments (0)