Name
Abstract | ||
|---|---|---|
A variety of different scripts are used in writing languages throughout the world. In a multiscript, multilingual environment, it is essential to know the script used in writing a document before an appropriate character recognition and document analysis algorithm can be chosen. In view of this, several methods for automatic script identification have been developed so far. They mainly belong to two broad categories-structure-based and visual-appearance-based techniques. This survey report gives an overview of the different script identification methodologies under each of these categories. Methods for script identification in online data and video-texts are also presented. It is noted that the research in this field is relatively thin and still more research is to be done, particularly in the case of handwritten documents. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TPAMI.2010.30 | IEEE Trans. Pattern Anal. Mach. Intell. |
Keywords | Field | DocType |
broad category,document analysis algorithm,different script,script recognition,different script identification methodology,script identification,handwritten document,online data,appropriate character recognition,automatic script identification,multilingual environment,optical character recognition,document management,text analysis,writing | Document analysis,Character recognition,Computer science,Multilingualism,Document management system,Optical character recognition,Artificial intelligence,Natural language processing,Script recognition,Alphabet,Scripting language | Journal |
Volume | Issue | ISSN |
32 | 12 | 1939-3539 |
Citations | PageRank | References |
23 | 0.98 | 45 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Debashis Ghosh | 1 | 496 | 49.16 |
| Tulika Dube | 2 | 23 | 0.98 |
| Adamane P Shivaprasad | 3 | 23 | 0.98 |