Automatic Character Location and Segmentation in Color Scene Images

Authors:
Affiliations:
Venue:
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
Year:
2001

Citing 0
Cited 2

Automatic segmentation of natural scene images based on chromatic and achromatic components

MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Text extraction from natural scene image: A survey

Neurocomputing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Abstract: This paper describes a connected component (CC)-based approach to automatic text location and segmentation in natural scene images. Multi-group decomposition scheme is used to deal with the complexity of the color background. Connected component extraction is implemented using block adjacency graph (BAG) algorithm after noise filtering and run length smearing (RLS) operation. Some heuristic features and priority adaptive segmentation (PAS) of characters are proposed in block candidate verification and grayscale-based recognition. A prototype system is completed and the experimental results prove the effectiveness of the proposed method.