Fine-Grained Texture Identification for Reliable Product Traceability

04/23/2021
by   Junsong Wang, et al.
0

Texture exists in lots of the products, such as wood, beef and compression tea. These abundant and stochastic texture patterns are significantly different between any two products. Unlike the traditional digital ID tracking, in this paper, we propose a novel approach for product traceability, which directly uses the natural texture of the product itself as the unique identifier. A texture identification based traceability system for Pu'er compression tea is developed to demonstrate the feasibility of the proposed solution. With tea-brick images collected from manufactures and individual users, a large-scale dataset has been formed to evaluate the performance of tea-brick texture verification and searching algorithm. The texture similarity approach with local feature extraction and matching achieves the verification accuracy of 99.6

READ FULL TEXT

page 2

page 4

research
06/22/2020

RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification

We introduce RP2K, a new large-scale retail product dataset for fine-gra...
research
06/22/2020

RP2K: A Large-Scale Retail Product Dataset forFine-Grained Image Classification

We introduce RP2K, a new large-scale retail product dataset for fine-gra...
research
03/03/2009

Real-time Texture Error Detection

This paper advocates an improved solution for real-time error detection ...
research
07/12/2012

Supervised Texture Classification Using a Novel Compression-Based Similarity Measure

Supervised pixel-based texture classification is usually performed in th...
research
08/24/2020

Products-10K: A Large-scale Product Recognition Dataset

With the rapid development of electronic commerce, the way of shopping h...
research
12/19/2016

Binary Distance Transform to Improve Feature Extraction

To recognize textures many methods have been developed along the years. ...

Please sign up or login with your details

Forgot password? Click here to reset