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- Title
Identification of handloom and powerloom fabrics using proximal support vector machines.
- Authors
Ghosh, Anindya; Guha, Tarit; Bhar, R. B.
- 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.
- Subjects
HANDLOOMS; SUPPORT vector machines; TEXTILES; ROBUST control; WEAVING equipment
- Publication
Indian Journal of Fibre & Textile Research, 2015, Vol 40, Issue 1, p87
- ISSN
0971-0426
- Publication type
Article