Name
Title | ||
|---|---|---|
Novel line verification for multiple instance focused retrieval in document collections |
Abstract | ||
|---|---|---|
Spatial verification is typically employed to check the spatial consistency among matched local features and to remove outliers. However, when looking for multiple instances of the query within a target image, RANSAC algorithms which are widely applied in many one-to-one matching applications might fail due to the large proportion of “outliers” - correct matches corresponding to other instances. On the other hand, geometrical verification methods are more robust to outliers but usually suffer from high computational costs. In this paper, we introduce a novel two-step line verification method which is more flexible than existing methods and leads to lower computational complexity especially when multiple instances of a query are sought. We study this approach within an information extraction scenario, where the objective is to locate document structures indicative of certain type of information (e.g. different records on invoices). |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICDAR.2015.7333808 | International Conference on Document Analysis and Recognition |
Field | DocType | ISSN |
Data mining,Computer vision,Pattern recognition,RANSAC,Computer science,Outlier,Information extraction,Artificial intelligence,Computational complexity theory,Spatial consistency | Conference | 1520-5363 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongxing Gao | 1 | 7 | 1.49 |
| Marçal Rusiñol | 2 | 386 | 33.57 |
| Dimosthenis Karatzas | 3 | 406 | 38.13 |
| Josep Lladós | 4 | 1329 | 110.51 |
| Rajiv Jain | 5 | 30 | 2.12 |
| David Doermann | 6 | 4313 | 312.70 |