Name
Abstract | ||
|---|---|---|
In this paper, we describe a new approach for text-image alignment of middle-age documents. The method is dedicated to word-to-word alignment in a segmentation-free and learning-free way. The best word-to-word matching lies on an adapted editing cost between signatures extracted on Unicode characters and on the images. The results are evaluated on the "Queste del saint Graal" (13th c.) by palaeographers through an intuitive validation interface that also offers a very fast interactive correction process. The gain of time resulting from the absence of learning stage offers the opportunity to pay more attention to the integration of different specificities and variations in middle-age handwritten documents (presence of typical abbreviations, allographs). |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICFHR.2014.67 | Frontiers in Handwriting Recognition |
Keywords | DocType | ISSN |
document image processing,history,image matching,interactive systems,optical character recognition,text detection,user interfaces,Queste del saint Graal,Unicode characters,editing cost,interactive correction process,intuitive validation interface,learning-free method,learning-free text-image alignment,medieval manuscripts,middle-age handwritten documents,segmentation-free method,signature extraction,word-to-word alignment,word-to-word matching,dynamic programming,medieval manuscript,text-image alignment | Conference | 2167-6445 |
Citations | PageRank | References |
4 | 0.41 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yann Leydier | 1 | 174 | 10.13 |
| Véronique Eglin | 2 | 131 | 19.67 |
| Stéphane Bres | 3 | 127 | 14.42 |
| Dominique Stutzmann | 4 | 4 | 0.41 |