Paper Info
Title
Edge-Based Method for Text Detection from Complex Document Images
Abstract
Abstract: Detection of text from documents in which text is embedded in complex colored and textured backgrounds is a very challenging problem. In this paper, we propose a simple texture-based approach based on edge information for this task. The performance of our method is compared to that obtained by a method based on the discrete cosine transform which was recently proposed by Zhong et al. [12] for text localization in compressed digital video. In our experiments, both methods performed about equally well for small-sized text, but our method was better in the case of large-sized text. The principal advantage of our approach is that in addition to the text detection problem, the same edge representation can also be used for other image interpretation tasks.
Year
DOI
Venue
2001
10.1109/ICDAR.2001.953800
ICDAR-1
Keywords
Field
DocType
text detection,text detection problem,edge information,complex document images,small-sized text,simple texture-based approach,digital video,discrete cosine,edge representation,large-sized text,edge-based method,text localization,challenging problem,discrete cosine transform,web pages,video compression,machine vision,machine intelligence,robustness,image segmentation,intelligent systems,feature extraction
Computer vision,Colored,Feature detection (computer vision),Pattern recognition,Computer science,Feature (computer vision),Image texture,Edge detection,Discrete cosine transform,Scale space,Feature extraction,Artificial intelligence
Conference
ISSN
ISBN
Citations 
1520-5363
0-7695-1263-1
10
PageRank 
References 
Authors
0.73
8
2
Name
Order
Citations
PageRank
Matti Pietikäinen114779739.80
Oleg Okun230828.56