An algorithm for colour-based natural scene text segmentation

Authors:
Chao Zeng;Wenjing Jia;Xiangjian He
Affiliations:
Research Centre for Innovation in IT Services and Applications (iNEXT), FEIT, University of Technology, Sydney, Australia;Research Centre for Innovation in IT Services and Applications (iNEXT), FEIT, University of Technology, Sydney, Australia;Research Centre for Innovation in IT Services and Applications (iNEXT), FEIT, University of Technology, Sydney, Australia
Venue:
CBDAR'11 Proceedings of the 4th international conference on Camera-Based Document Analysis and Recognition
Year:
2011

Citing 8
Cited 1

Segmentation and Recognition of Characters in Scene Images Using Selective Binarization in Color Space and GAT Correlation

ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Color Text Extraction from Camera-based Images the Impact of the Choice of the Clustering Distance

ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Binarization and Recognition of Degraded Characters Using a Maximum Separability Axis in Color Space and GAT Correlation

ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Color text extraction with selective metric-based clustering

Computer Vision and Image Understanding
A hybrid text segmentation approach

ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Edge Based Binarization for Video Text Images

ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Stroke-model-based character extraction from gray-level document images

IEEE Transactions on Image Processing
Objective evaluation of video segmentation quality

IEEE Transactions on Image Processing

MAPS: midline analysis and propagation of segmentation

Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Before the step for text recognition, a text image needs to be segmented into foreground containing only the text area and background. In this paper, a method is proposed for segmenting colour natural scene texts which suffer from a wide range of degradations with complex background. A text image is firstly processed by two 3-means clustering operations with different distance measurements. Then, a modified connected component (CC)-based validation method is used to obtain the text area after clustering. Thirdly, a proposed objective segmentation evaluation method is utilised to choose the final segmentation result from the two segmented text images. The proposed method is compared with other existing methods based on the ICDAR2003 public database. Experimental results show the effectiveness of the proposed method.