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The Recognition of Microscopic Images of Ceramics Incorporating Blockchain Technology
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Author(s): Yuanxin Qiu (Minnan Normal University, China), Xing Xu (School of Physics and Information Engineering, Minnan Normal University, China)and Xien Cheng (School of Information Engineering, Jingdezhen Ceramic Institute, China)
Copyright: 2022
Volume: 16
Issue: 1
Pages: 20
Source title:
International Journal of Cognitive Informatics and Natural Intelligence (IJCINI)
Editor(s)-in-Chief: Kangshun Li (South China Agricultural University, China)
DOI: 10.4018/IJCINI.296728
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Abstract
Having summarized the previous research on ceramic identification and the anti-counterfeiting, the authors propose a ceramic identification system that combines computer vision algorithms with blockchain technology. The system uses irregular pores on microscopic images of ceramic surfaces as image features, and it applies the SIFT(Scale-invariant feature transform) algorithm to extract feature. The images and feature vector sets are then stored by IPFS(Inter-planetary File System). When a consumer needs to authenticate a ceramic product, it is only necessary to take a microscopic image of the specified location, and then the SIFT algorithm will compare the picture with the data stored in the IPFS network, and was previously obtained through the records on a blockchain network, the matching result then determines whether the photographed ceramic is one of those already recorded. Experimental show that the matching results can be used as a strong basis for identifying the origin of ceramic products.
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