Name
Title | ||
|---|---|---|
Page segmentation and classification using fast feature extraction and connectivity analysis |
Abstract | ||
|---|---|---|
Page segmentation and classification are important parts of the document analysis process. The aim is to extract and classify different parts of the page. This paper proposes an approach in which these two phases are combined. The integration process includes fast feature extraction with rule-based classification and label propagation using connectivity analysis providing classified areas in three categories: background, text and picture. |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1109/ICDAR.1995.602118 | ICDAR-1 |
Keywords | Field | DocType |
government,rule based reasoning,rule based,image segmentation,picture,text analysis,background,knowledge based systems,availability,image classification,feature extraction | Data mining,Document analysis,Pattern recognition,Label propagation,Computer science,Segmentation,Knowledge-based systems,Image segmentation,Feature extraction,Artificial intelligence,Contextual image classification,Text recognition | Conference |
ISBN | Citations | PageRank |
0-8186-7128-9 | 16 | 3.88 |
References | Authors | |
5 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jaakko J. Sauvola | 1 | 451 | 44.31 |
| Matti Pietikäinen | 2 | 14779 | 739.80 |