{"title":"A Novel Porcelain Fingerprinting Technique","authors":"Chengjie Wang;Yuejun Zhang;Ziyu Zhou","doi":"10.1109/TETC.2025.3546602","DOIUrl":null,"url":null,"abstract":"Porcelain, as a significant cultural heritage, embodies the wisdom of human civilization. However, existing anti-counterfeiting and authentication technologies for porcelain are often unreliable and costly. This paper proposes a physical unclonable functions (PUF) design based on crack physical feature extraction for the anti-counterfeiting and authentication of Gold-Wire porcelain. The proposed method generates PUF information by extracting inherent physical deviations in the surface cracks of Gold-Wire porcelain. First, a standard crack extraction process is established using digital image processing to obtain crack information from the porcelain surface. Then, a physical feature extraction model based on the chain code encoding technique and the Delaunay triangulation technique is used to derive the physical feature values from the cracks. Subsequently, a PUF encoding algorithm is designed to convert these physical feature values into a PUF response. Finally, the security and reliability of the designed PUF are evaluated, and a PUF-based porcelain authentication protocol is developed. Experimental results show that the proposed PUF exhibits 50.16% uniqueness and 98.85% reliability, and the PUF data successfully passed the NIST randomness test, demonstrating that the proposed technology can effectively achieve low-cost, high-reliability anti-counterfeiting for commercial porcelain.","PeriodicalId":13156,"journal":{"name":"IEEE Transactions on Emerging Topics in Computing","volume":"13 3","pages":"964-976"},"PeriodicalIF":5.4000,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Emerging Topics in Computing","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10930327/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Porcelain, as a significant cultural heritage, embodies the wisdom of human civilization. However, existing anti-counterfeiting and authentication technologies for porcelain are often unreliable and costly. This paper proposes a physical unclonable functions (PUF) design based on crack physical feature extraction for the anti-counterfeiting and authentication of Gold-Wire porcelain. The proposed method generates PUF information by extracting inherent physical deviations in the surface cracks of Gold-Wire porcelain. First, a standard crack extraction process is established using digital image processing to obtain crack information from the porcelain surface. Then, a physical feature extraction model based on the chain code encoding technique and the Delaunay triangulation technique is used to derive the physical feature values from the cracks. Subsequently, a PUF encoding algorithm is designed to convert these physical feature values into a PUF response. Finally, the security and reliability of the designed PUF are evaluated, and a PUF-based porcelain authentication protocol is developed. Experimental results show that the proposed PUF exhibits 50.16% uniqueness and 98.85% reliability, and the PUF data successfully passed the NIST randomness test, demonstrating that the proposed technology can effectively achieve low-cost, high-reliability anti-counterfeiting for commercial porcelain.
期刊介绍:
IEEE Transactions on Emerging Topics in Computing publishes papers on emerging aspects of computer science, computing technology, and computing applications not currently covered by other IEEE Computer Society Transactions. Some examples of emerging topics in computing include: IT for Green, Synthetic and organic computing structures and systems, Advanced analytics, Social/occupational computing, Location-based/client computer systems, Morphic computer design, Electronic game systems, & Health-care IT.