Name
Abstract | ||
|---|---|---|
We present a novel methodology for extracting the structure of handwritten filled table-forms. The method identifies the table-form line intersections, detecting and correcting wrong intersections produced by faulty line segments or by table artefacts. Examples of artefacts are overlapping data, broken segments, and smudges. A novel method for artefact identification and deletion is also proposed. The last step performs the extraction of table-form cells. A database of 350 table-form images was used for evaluation, showing that the artefact identification method improves the performance of the table-forms structure extractor. The proposed approach reached a success rate of 85%. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1145/1244002.1244144 | J. UCS |
Keywords | Field | DocType |
faulty line segment,artefact identification method,novel methodology,novel method,table-form extraction,table artefact,table-form cell,artefact removal,table-form image,table-form line intersection,artefact identification | Computer vision,Line segment,Computer science,Document segmentation,Artificial intelligence,Extractor | Conference |
Volume | Issue | ISSN |
14 | 2 | 0948-695X |
ISBN | Citations | PageRank |
1-59593-480-4 | 2 | 0.39 |
References | Authors | |
18 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luiz Antonio Pereira Neves | 1 | 2 | 0.72 |
| João Marques de Carvalho | 2 | 35 | 7.45 |
| Jacques Facon | 3 | 67 | 15.67 |
| Flávio Bortolozzi | 4 | 609 | 47.04 |