원문정보
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
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