Name
Abstract | ||
|---|---|---|
This paper presents features for text/non-text area separation in printed document images. First, it introduces entropic discrimination, i.e., a simple separation using only one feature. Then, a brief recall on existing texture and geometric discriminant parameters proposed in previous research (2001, 2002) is included. Several of them are statistically examined. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ICPR.2002.1047840 | Pattern Recognition, 2002. Proceedings. 16th International Conference |
Keywords | Field | DocType |
document image processing,entropy,feature extraction,learning (artificial intelligence),pattern classification,document zone classification,entropic discrimination,entropy,feature extraction,geometric discriminant parameters,printed document image analysis,text separation,training set | Histogram,Document image processing,Computer science,Artificial intelligence,Graphics,Training set,Computer vision,Text mining,Pattern recognition,Discriminant,Feature extraction,Speech recognition,Recall | Conference |
Volume | ISSN | ISBN |
3 | 1051-4651 | 0-7695-1695-X |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jean Duong | 1 | 0 | 0.34 |
| Hubert Emptoz | 2 | 383 | 38.09 |
| Myriam Côté | 3 | 0 | 0.34 |