Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. The fundamental Theory
  2.1. The Discrete Wavelet Transform (DWT)
  2.2. The Discrete Cosine Transform (DCT)
  2.3. Authentic Work Anti-Counterfeiting
  2.4. A Method to Obtain the Feature Vector of Authentic Work Anti-Counterfeiting Image
 3. The Algorithm
  3.1. Establish Security Database of Authentic Work Anti-Counterfeiting ImageFeature Vectors
  3.2. The Automatic Identification of Authentic Work Anti-Counterfeiting Image
 4. Experiements
  4.1. Common Attacks
  4.2. Geometrical Attacks
 5. Conclusion
 References

키워드

저자

• Yue Zhang [ College of Information Science and Technology, Hainan University, Haikou, 570228, China ]
• Jingbing Li [ College of Information Science and Technology, Hainan University, Haikou, 570228, China ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605