Name
Abstract | ||
|---|---|---|
es that facilitate the batch conversion of maps of the sametype. While the conversion of the first map in the batch may require significant operator intervention,subsequent maps will benefit from adaptive techniques based on the graphic andtypesetting consistency within the batch.We build on considerable previous work. Vectorization under document-specific constraintsand "beautification" are discussed in [1, 2, 3, 4], street-line and street-name extraction in [5,6], and the separation of... |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1007/3-540-64381-8_58 | GREC |
Keywords | Field | DocType |
adaptive association,street names | Computer vision,Adaptive system,Computer science,Work in process,Image processing,Automation,Image segmentation,Artificial intelligence,Operator (computer programming) | Conference |
Volume | ISSN | ISBN |
1389 | 0302-9743 | 3-540-64381-8 |
Citations | PageRank | References |
2 | 0.35 | 9 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| George Nagy | 1 | 913 | 105.94 |
| A Samal | 2 | 1033 | 213.54 |
| Sharad C. Seth | 3 | 671 | 93.61 |
| T. Fisher | 4 | 2 | 0.35 |
| E. Guthmann | 5 | 2 | 0.35 |
| K. Kalafala | 6 | 360 | 22.82 |
| L. Li | 7 | 22 | 4.74 |
| Prateek Sarkar | 8 | 184 | 16.74 |
| S. Sivasubramaniam | 9 | 2 | 0.35 |
| Yihong Xu | 10 | 88 | 11.91 |