Title :
Automatic character location and segmentation in color scene images
Author_Institution :
Visual Commun. Lab., Nokia Res. Center, Beijing, China
Abstract :
This paper describes a connected component (CC)-based approach to automatic text location and segmentation in natural scene images. A multi-group decomposition scheme is used to deal with the complexity of the color background. Connected component extraction is implemented using the block adjacency graph (BAG) algorithm after noise filtering and runlength 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
Keywords :
feature extraction; filtering theory; image colour analysis; image segmentation; natural scenes; optical character recognition; BAG algorithm; automatic character location; automatic text location; block adjacency graph; block candidate verification; color background; color scene images; complexity; connected component extraction; grayscale-based recognition; heuristic features; multi-group decomposition scheme; natural scene images; noise filtering; priority adaptive segmentation; runlength smearing; Colored noise; Digital cameras; Flowcharts; Gray-scale; Histograms; Image analysis; Image color analysis; Image decomposition; Image segmentation; Layout;
Conference_Titel :
Image Analysis and Processing, 2001. Proceedings. 11th International Conference on
Conference_Location :
Palermo
Print_ISBN :
0-7695-1183-X
DOI :
10.1109/ICIAP.2001.956977
