Name
Abstract | ||
|---|---|---|
We survey the optical character recognition (OCR) literature with reference to the Urdu-like cursive scripts. In particular, the Urdu, Pushto, and Sindhi languages are discussed, with the emphasis being on the Nasta'liq and Naskh scripts. Before detaining the OCR works, the peculiarities of the Urdu-like scripts are outlined, which are followed by the presentation of the available text image databases. For the sake of clarity, the various attempts are grouped into three parts, namely: (a) printed, (b) handwritten, and (c) online character recognition. Within each part, the works are analyzed par rapport a typical OCR pipeline with an emphasis on the preprocessing, segmentation, feature extraction, classification, and recognition. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.patcog.2013.09.037 | Pattern Recognition |
Keywords | Field | DocType |
feature extraction,online character recognition,sindhi language,par rapport,available text image databases,optical character recognition,urdu-like script,naskh script,urdu-like cursive script,typical ocr pipeline,character | Cursive,Computer science,Optical character recognition,Feature extraction,Speech recognition,Urdu,Preprocessor,Artificial intelligence,Sindhi,Natural language processing,Intelligent word recognition,Scripting language | Journal |
Volume | Issue | ISSN |
47 | 3 | 0031-3203 |
Citations | PageRank | References |
30 | 1.13 | 37 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saeeda Naz | 1 | 147 | 14.25 |
| Khizar Hayat | 2 | 248 | 19.71 |
| Muhammad Imran Razzak | 3 | 221 | 33.86 |
| Muhammad Waqas Anwar | 4 | 34 | 2.92 |
| Sajjad A. Madani | 5 | 682 | 23.38 |
| Samee U. Khan | 6 | 1572 | 83.04 |