Name
Abstract | ||
|---|---|---|
There is a huge amount of historical documents in libraries and in various National Archives that have not been exploited electronically. Although automatic reading of complete pages remains, in most cases, a long-term objective, tasks such as word spotting, text/image alignment, authentication and extraction of specific fields are in use today. For all these tasks, a major step is document segmentation into text lines. Because of the low quality and the complexity of these documents (background noise, artifacts due to aging, interfering lines), automatic text line segmentation remains an open research field. The objective of this paper is to present a survey of existing methods, developed during the last decade and dedicated to documents of historical interest. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/s10032-006-0023-z | International Journal on Document Analysis and Recognition |
Keywords | DocType | Volume |
historical documents,automatic text line segmentation,automatic reading,huge amount,complete page,historical document,segmentation,text lines,background noise,long-term objective,survey,document segmentation,historical interest,text line,handwriting | Journal | 9 |
Issue | ISSN | Citations |
2-4 | Vol. 9, no 2-4, April 2007, pp. 123-138 | 186 |
PageRank | References | Authors |
7.76 | 44 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Laurence Likforman-Sulem | 1 | 560 | 43.90 |
| Abderrazak Zahour | 2 | 282 | 14.83 |
| bruno taconet | 3 | 241 | 12.45 |