Name
Title | ||
|---|---|---|
Structure detection and segmentation of documents using 2D stochastic context-free grammars. |
Abstract | ||
|---|---|---|
In this paper we define a bidimensional extension of stochastic context-free grammars for structure detection and segmentation of images of documents. Two sets of text classification features are used to perform an initial classification of each zone of the page. Then, the document segmentation is obtained as the most likely hypothesis according to a stochastic grammar. We used a dataset of historical marriage license books to validate this approach. We also tested several inference algorithms for probabilistic graphical models and the results showed that the proposed grammatical model outperformed the other methods. Furthermore, grammars also provide the document structure along with its segmentation. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.neucom.2014.08.076 | Neurocomputing |
Keywords | Field | DocType |
Document image analysis,Stochastic context-free grammars,Text classification features | Rule-based machine translation,Scale-space segmentation,Context-free grammar,Computer science,Document Structure Description,Artificial intelligence,Natural language processing,L-attributed grammar,Pattern recognition,Segmentation,Graphical model,Stochastic grammar,Machine learning | Journal |
Volume | Issue | ISSN |
150 | PA | 0925-2312 |
Citations | PageRank | References |
1 | 0.36 | 23 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francisco Álvaro | 1 | 68 | 5.35 |
| Francisco Cruz Fernandez | 2 | 1 | 0.36 |
| Joan-Andreu Sánchez | 3 | 198 | 29.00 |
| Oriol Ramos Terrades | 4 | 150 | 18.36 |
| José-Miguel Benedí | 5 | 318 | 29.43 |