Name
Abstract | ||
|---|---|---|
The article presents a method for the automatic extraction of the contents of passive and/or active cells in forms. The approach is based on the analysis and recognition of the types of intersection of the lines that make up such cells. Very little a priori knowledge of the form is required. The performance of this approach depends on the correction module mechanisms for detection and correction of errors generated during the intersection identification phase. The potentialities and advantages of this approach are described and illustrated with tests carried out on different form bases. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/SIBGRA.2000.883888 | SIBGRAPI |
Keywords | Field | DocType |
intersection identification phase,different form base,automatic extraction,table-form cells,correction module mechanism,active cell,image analysis,error correction,feature extraction,binary trees,image recognition,phase detection,data mining,handwriting recognition,a priori knowledge,system testing,image segmentation | Computer vision,Pattern recognition,Of the form,Computer science,Business forms,Document image processing,A priori and a posteriori,Image segmentation,Feature extraction,Artificial intelligence | Conference |
ISBN | Citations | PageRank |
0-7695-0878-2 | 3 | 0.50 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luiz Antônio Pereira Neves | 1 | 5 | 2.23 |
| Jacques Facon | 2 | 67 | 15.67 |