Please use this identifier to cite or link to this item:
http://nopr.niscpr.res.in/handle/123456789/31072| Title: | Identification of handloom and powerloom fabrics using proximal support vector machines |
| Authors: | Ghosh, Anindya Guha, Tarit Bhar, R B |
| Keywords: | Handloom fabrics;Image processing;Pattern classification;Proximal support vector machine;Powerloom fabrics |
| Issue Date: | Mar-2015 |
| Publisher: | NISCAIR-CSIR, India |
| Abstract: | This study endeavors to recognize handloom and powerloom products by means of proximal support vector machine (PSVM) using the features extracted from gray level images of both fabrics. A k-fold cross validation technique has been applied to assess the accuracy. The robustness, speed of execution, proven accuracy coupled with simplicity in algorithm hold the PSVM as a foremost classifier to recognize handloom and powerloom fabrics. |
| Page(s): | 87-93 |
| ISSN: | 0975-1025 (Online); 0971-0426 (Print) |
| Appears in Collections: | IJFTR Vol.40(1) [March 2015] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| IJFTR 40(1) 87-93.pdf | 291.87 kB | Adobe PDF | View/Open |
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