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|Title:||Identification of handloom and powerloom fabrics using proximal support vector machines|
Bhar, R B
|Keywords:||Handloom fabrics;Image processing;Pattern classification;Proximal support vector machine;Powerloom fabrics|
|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.|
|ISSN:||0975-1025 (Online); 0971-0426 (Print)|
|Appears in Collections:||IJFTR Vol.40(1) [March 2015]|
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