The Recognition of Microscopic Images of Ceramics Incorporating Blockchain Technology

【Author】 Qiu, Yuanxin; Xu, Xing; Cheng, Xien

【Source】INTERNATIONAL JOURNAL OF COGNITIVE INFORMATICS AND NATURAL INTELLIGENCE

【影响因子】0.000

【Abstract】Having summarized the previous research on ceramic identification and 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, 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 results show that the matching results can be used as a strong basis for identifying the origin of ceramic products.

【Keywords】Blockchain; Ceramic Identification; Ceramic Products; Feature Extraction; Image Matching; IPFS Network; Microscopic Image; Sift Algorithm

【发表时间】2022

【收录时间】2022-06-29

【文献类型】理论性文章

【主题类别】

区块链应用-实体经济-工业领域