Abstract

Pashmina is one of the most luxurious and finest fibres in the world. It is a special kind of wool obtained from Cashmere goats. Counterfeiting Pashmina is becoming a prevalent malpractice because of limited supply, expensive pricing and high demand in western markets. Presently, there is a lack of a low-cost and easily available approach for distinguishing authentic Pashmina apparels from other similar-looking products. Because of technological advances and cost reductions in digital image processing, we have been able to implement a variety of image recognition systems on a practical level. In this study, we propose a deep learning model PashmNet for identification of Pashmina fabric using transfer learning. The technique proposed herein classifies Pashmina and non-Pashmina images accurately with classification accuracy of 97.4%.