基于DCT和感知哈希的纹理防伪标签鉴别算法  

DCT and perceptual hashing based to identify texture anti-counterfeiting tag

作　　者：李雨佳[1] 李京兵 

机构地区：[1]海南大学信息科学技术学院,海口570228

出　　处：《计算机应用研究》2014年第12期3734-3737,3741,共5页Application Research of Computers

基　　金：国家自然科学基金资助项目(61263033);海南省自然科学基金资助项目(60894)

摘　　要：针对纹理防伪标签在光线不足、视力不佳的情况下难以鉴别的问题,提出了一种基于DCT、感知哈希和视觉特征向量的纹理防伪标签鉴别算法。首先通过DCT和感知哈希提取图像的特征向量;然后建立特征数据库,通过特征向量之间的归一化相关系数(NC)实现纹理防伪标签的自动鉴别。实验结果表明,该方法可以有效抵抗常规攻击和几何攻击,可实现自动鉴别技术。与现有的纹理防伪技术相比,该算法可以减小占据的数据库存储空间,具有更好的实用性。In view of the problem that texture anti-counterfeiting tags were difficult to identify to the naked eye in the case of poor eyesight or insufficient light,this paper put forward an algorithm based on DCT,perceptual hashing 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 perceptual hashing,and then created a database of texture images’ feature vectors. At last the scheme compared the normalized cross-correlation（ NC） between the feature vectors to realize automatic identification of texture tags. The results of experimental study demonstrate that the proposed algorithm has strong robustness against common and geometric attacks. In addition,compared with the existing texture anti-counterfeiting technology,this algorithm can reduce the database storage space occupied and has better practicability.

关 键 词：纹理防伪标签 感知哈希 离散余弦变换 特征向量 自动鉴别 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构] TP301.6[自动化与计算机技术—计算机科学与技术]