The Intelligent Texture Anti-counterfeiting Algorithm Based on DCT

DOI

10.2991/iset-15.2015.22How to use a DOI?

Keywords

Texture anti-counterfeiting tag, Feature vector, DCT, Strong robustness

Abstract

This paper put forward an algorithm based on DCT and human visual characteristics for the identification of texture anti-counterfeiting tags. Firstly, the method extracted the visual feature vectors of texture image through DCT, and then created a database of texture images’ feature vectors. Compare the Normalized Cross-correlation (NC) between the feature vectors of texture tags. The results of experimental study demonstrate that the proposed algorithm has strong robustness against common and geometric attacks. In addition, this algorithm can reduce the database storage space occupied and has better practicability and convenience by comparing with the existing texture anti-counterfeiting technology.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yicheng Li
AU  - Yujia Li
AU  - Jingbing Li
PY  - 2015/03
DA  - 2015/03
TI  - The Intelligent Texture Anti-counterfeiting Algorithm Based on DCT
BT  - Proceedings of the First International Conference on Information Science and Electronic Technology
PB  - Atlantis Press
SP  - 82
EP  - 85
SN  - 2352-538X
UR  - https://doi.org/10.2991/iset-15.2015.22
DO  - 10.2991/iset-15.2015.22
ID  - Li2015/03
ER  -