Name
Abstract | ||
|---|---|---|
This paper describes a technique for text segmentation of machine printed Gurmukhi script documents. Research in the field of segmentation of Gurmukhi script faces major problems mainly related to the unique characteristics of the script like connectivity of characters on the headline, two or more characters in a word having intersecting minimum bounding rectangles, multi-component characters, touching characters which are present even in clean documents. The segmentation problems unique to the Gurmukhi script such as horizontally overlapping text segments and touching characters in various zonal positions in a word have been discussed in detail and a solution has been proposed. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1007/3-540-44692-3_24 | CAIP |
Keywords | Field | DocType |
text segmentation,gurmukhi script,clean document,major problem,intersecting minimum,overlapping text segment,segmentation problem,touching character,unique characteristic,gurmukhi text,gurmukhi script document,minimum bounding rectangle | Headline,Computer vision,Character recognition,Pattern recognition,Segmentation,Computer science,Image processing,Text segmentation,Artificial intelligence,Bounding overwatch | Conference |
ISBN | Citations | PageRank |
3-540-42513-6 | 4 | 0.50 |
References | Authors | |
7 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lehal, G.S. | 1 | 20 | 2.97 |
| Chandan Singh | 2 | 4 | 1.18 |