Proceedings of the First International Conference on Information Science and Electronic Technology

The Intelligent Texture Anti-counterfeiting Algorithm Based on DCT

Authors
Yicheng Li, Yujia Li, Jingbing Li
Corresponding Author
Yicheng Li
Available Online March 2015.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
First International Conference on Information Science and Electronic Technology (ISET 2015)
Part of series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
978-94-62520-50-9
DOI
https://doi.org/10.2991/iset-15.2015.22How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - First International Conference on Information Science and Electronic Technology (ISET 2015)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/iset-15.2015.22
DO  - https://doi.org/10.2991/iset-15.2015.22
ID  - Li2015/03
ER  -