Name
Abstract | ||
|---|---|---|
In this article, we introduce the first method that allows the indexation of ancient manuscripts of any language and alphabet. We describe a word retrieval engine inspired by recent word-spotting advances on ancient manuscripts. Our approach does not need any layout segmentation and makes use of features fitted to any type of alphabet (Latin, Arabic, Chinese, etc.) and writing. The engine is tested on numerous documents and in several use-cases. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.patcog.2009.01.026 | Pattern Recognition |
Keywords | Field | DocType |
numerous document,layout segmentation,ancient manuscript,omnilingual word retrieval system,ancient documents,word retrieval,word retrieval engine,recent word-spotting advance,document indexing,omnilingual,word-spotting,segmentation-free,use case | Arabic,Information retrieval,Segmentation,Search engine indexing,Natural language processing,Artificial intelligence,Mathematics,Word processing,Alphabet | Journal |
Volume | Issue | ISSN |
42 | 9 | Pattern Recognition |
Citations | PageRank | References |
58 | 2.12 | 20 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yann Leydier | 1 | 174 | 10.13 |
| Asma Ouji | 2 | 69 | 3.47 |
| Frank Lebourgeois | 3 | 256 | 23.94 |
| Hubert Emptoz | 4 | 383 | 38.09 |