Name
Abstract | ||
|---|---|---|
Search and retrieval is gaining importance in the ink domain due to the increase in the availability of online handwritten data. However, the problem is challenging due to variations in handwriting between various writers, digitizers and writing conditions. In this paper, we propose a retrieval mechanism for online handwriting, which can handle different writing styles, specifically for Indian languages. The proposed approach provides a keyboard-based search interface that enables to search handwritten data from any platform, in addition to pen-based and example-based queries. One of the major advantages of this framework is that information retrieval techniques such as ranking relevance, detecting stopwords and controlling word forms can be extended to work with search and retrieval in the ink domain. The framework also allows cross-lingual document retrieval across Indian languages. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.patcog.2008.08.017 | Pattern Recognition |
Keywords | Field | DocType |
online handwritten data,different writing style,information retrieval technique,keyboard-based search interface,online handwriting,handwritten data,retrieval mechanism,ink domain,cross-lingual document retrieval,indian language,document retrieval,information retrieval | Human–computer information retrieval,Inkwell,Handwriting,Ranking,Computer science,Writing style,Search interface,Natural language processing,Artificial intelligence,Document retrieval,Visual Word | Journal |
Volume | Issue | ISSN |
42 | 7 | Pattern Recognition |
Citations | PageRank | References |
15 | 0.59 | 21 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| C. V. Jawahar | 1 | 1700 | 148.58 |
| A. Balasubramanian | 2 | 15 | 0.59 |
| Million Meshesha | 3 | 85 | 10.85 |
| Anoop M. Namboodiri | 4 | 255 | 26.36 |