Name
Abstract | ||
|---|---|---|
This paper proposes an adaptive binarization method for the document image binarization acquired by an imaging phone. The used algorithm determines the local thresholds with the information from the global trend as well as the local details. As a consequence, the proposed method is good not only for preserving the Fine details of the character structure, but also for alleviating noise. The effectiveness of the proposed method is illustrated using the results obtained with a Nokia imaging phone. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ICIP.2005.1530113 | 2005 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), VOLS 1-5 |
Keywords | Field | DocType |
binarization, camera image, mobile phone | Camera phone,Computer vision,Computer graphics (images),Computer science,Document image processing,Phone,Artificial intelligence,Character structure | Conference |
ISSN | Citations | PageRank |
1522-4880 | 0 | 0.34 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adrian Burian | 1 | 15 | 5.12 |
| Markku Vehvilainen | 2 | 80 | 9.38 |
| Mejdi Trimeche | 3 | 203 | 10.92 |
| Jukka Saarinen | 4 | 264 | 46.21 |