期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2016
卷号：10
期号：6
页码：135-144
DOI：10.14257/ijsia.2016.10.6.14
出版社：SERSC
摘要：In order to restrain the bad influences of fake and inferior products, an automatic identification authentic work anti-counterfeiting algorithm is proposed in this paper. The authentic work anti-counterfeiting uses a unique random character structure to carry out security. The algorithm is convenient for customers to distinguish the anti-counterfeiting tag by both naked eye and mobile. There is not yet a similar algorithm published. In the algorithm, the feature vectors are extracted using DWT-DCT. Using extracted feature vectors from anti-counterfeiting tag to realize automatic identification. Therefore, this algorithm saves the storage space and improves the identification rate. In addition, the experimental results show this algorithm have strong robustness under common attacks, geometrical attacks.
