Title | ||
---|---|---|
Recognizing handwritten Arabic script through efficient skeleton-based grapheme segmentation algorithm |
Year | DOI | Venue |
---|---|---|
2010 | 10.1109/ISDA.2010.5687062 | ISDA |
Keywords | Field | DocType |
limit set,feature extraction,arabic language,optical character recognition,rule based,natural languages,knowledge based systems,engines,algorithm design and analysis,skeleton,handwriting recognition,barium,image segmentation | Cursive,Computer science,Handwriting recognition,Image segmentation,Natural language processing,Artificial intelligence,Arabic script,Algorithm design,Pattern recognition,Segmentation,Optical character recognition,Algorithm,Feature extraction | Conference |
Citations | PageRank | References |
4 | 0.39 | 8 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gheith A. Abandah | 1 | 87 | 8.53 |
Fuad T. Jamour | 2 | 4 | 0.39 |