Identification of handloom and powerloom fabrics using proximal support vector machines

Ghosh, Anindya ; Guha, Tarit ; Bhar, R B


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.



Handloom fabrics; Image processing; Pattern classification; Proximal support vector machine;
Powerloom fabrics

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