Name
Title | ||
|---|---|---|
A Study of Handwritten Characters by Shape Descriptors: Doping Using the Freeman Code |
Abstract | ||
|---|---|---|
In this paper, we present the role of shape descriptors in the off-line recognition process of handwritten isolated Arabic and Latin characters. We will give some statistical and structural shape descriptors and mention their performance. Then we will present an hybrid approach that uses structural shapes' descriptors from a different angle in order to improve the recognition's results from a statistical descriptor. We will therefore introduce the concept of doping aiming to raise the recognition rate. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICFHR.2012.170 | Frontiers in Handwriting Recognition |
Keywords | Field | DocType |
statistical descriptor,different angle,shape descriptors,handwritten characters,structural shape descriptors,structural shape,freeman code,handwritten isolated arabic,hybrid approach,recognition rate,off-line recognition process,latin character,statistical analysis | Arabic,Pattern recognition,Computer science,Image coding,Speech recognition,Artificial intelligence,Fourier descriptor,Structural shapes,Statistical analysis | Conference |
ISSN | ISBN | Citations |
2167-6445 | 978-1-4673-2262-1 | 0 |
PageRank | References | Authors |
0.34 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chekib Gmati | 1 | 0 | 0.34 |
| Sofiene Haboubi | 2 | 14 | 2.46 |
| Abdulqadir Alaqeeli | 3 | 5 | 3.04 |
| Hamid Amiri | 4 | 86 | 19.36 |