Name
Abstract | ||
|---|---|---|
This paper discusses the development of algorithms for the machine recognition of optically captured Arabic characters and their isolation from the printed text. Arabic text is formed from a set of connected or individual fonts. Recognition algorithms based only on individual characters need to be supplemented with a separation algorithm. Moment-invariant descriptors are investigated for the purpose of recognition of individual characters. Meanwhile, to recognize connected machine printed characters, an algorithm for separation of individual characters is developed. |
Year | DOI | Venue |
|---|---|---|
1990 | 10.1016/0031-3203(90)90116-3 | Pattern Recognition |
Keywords | Field | DocType |
separation,thinning,arabic text,moments,machine recognition,optically captured,thresholding | Arabic,Pattern recognition,Arabic characters,Speech recognition,Separation algorithm,Artificial intelligence,Recognition algorithm,Thresholding,Machine recognition,Mathematics | Journal |
Volume | Issue | ISSN |
23 | 11 | Pattern Recognition |
Citations | PageRank | References |
34 | 5.87 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| F. El-Khaly | 1 | 34 | 5.87 |
| M. A. Sid-Ahmed | 2 | 269 | 24.60 |