On Comparison of Different Classification Techniques for the Fine-Grained Retail Product Recognition Problem

Classification systems of retail products have recently been gaining more importance. There are many classes of retail products and the resemblance of these products makes the design of product recognition systems, which have many application areas, more challenging. In this paper, we present a comparison of different classification techniques that are widely used in computer vision for image classification on retail product images taken by smart-phones.