Name
Title | ||
|---|---|---|
Script separation in machine printed bilingual (Devnagari and Gurumukhi) documents using morphological approach |
Abstract | ||
|---|---|---|
In this paper, a bilingual script recognition system is developed to identify and separate out texts written in Devnagari and Gurumukhi scripts. It is observed that vertical half strokes and horizontal strokes are predominantly used in Gurumukhi script compared to Devnagari. On the basis of this observation, we develop a morphological image processing based scheme to extract vertical and horizontal strokes in a document image. The two script regions are subsequently separated out on the basis of the density of these strokes in different regions of the document. Experimental results demonstrate the effectiveness of our proposed scheme. However, the proposed scheme works well only with machine printed documents. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/NCC.2014.6811361 | NCC |
Keywords | Field | DocType |
document image processing,natural language processing,text analysis,devnagari script,gurumukhi script,bilingual script recognition system,document image,horizontal strokes,machine printed bilingual document,machine printed document,morphological image processing,script separation,vertical half strokes,document analysis,bilingual documents,feature extraction,morphological operations,script identification | Horizontal and vertical,Document analysis,Computer science,Image processing,Speech recognition,Feature extraction,Natural language processing,Artificial intelligence,Script recognition,Scripting language | Conference |
Citations | PageRank | References |
1 | 0.34 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sudhir Kumar Singh | 1 | 22 | 8.25 |
| Kumar, A. | 2 | 6 | 4.48 |
| Shaw, D.K. | 3 | 1 | 0.34 |
| Debashis Ghosh | 4 | 496 | 49.16 |