Name
Abstract | ||
|---|---|---|
•A texture based approach for writer identification of multiple scripts on a single platform has been compared in this paper.•It analyzes six texture descriptors namely LBP, LPQ,DWT+LEP, DWT+DLEP, CSLBCoP and LTriDP for identifying the writer.•The comparative study has been performed for Latin, Arabic and Devnagri databases on a uniform platform where the Devnagri database is contributed by us towards this end. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compeleceng.2018.07.003 | Computers & Electrical Engineering |
Keywords | Field | DocType |
Texture-based writer identification,Texture descriptors,Devnagri scripts,Handwritten documents | Arabic,Phase quantization,Pattern recognition,Computer science,Support vector machine,Local binary patterns,Maxima and minima,Real-time computing,Artificial intelligence,Discrete wavelet transform,Classifier (linguistics),Binary number | Journal |
Volume | ISSN | Citations |
71 | 0045-7906 | 0 |
PageRank | References | Authors |
0.34 | 25 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Singh, P. | 1 | 75 | 8.97 |
| Partha Pratim Roy | 2 | 597 | 77.02 |
| Balasubramanian Raman | 3 | 679 | 70.23 |