产品外包装隐形激光全息防伪识别方法
Product packaging invisible laser holographic anti-counterfeiting identification method
马丽霞1
作者信息
摘要
产品外包装防伪识别方法采用小波包变换算法,对防伪信息进行识别,但在识别时易受到防伪图像正负特性的影响,导致识别率较低.因此,提出产品外包装隐形激光全息防伪识别方法.利用空间滤波方法锐化防伪图像边缘,增强防伪图像特征;基于图像校正结果,通过分割滤波的实部输出与模拟输出分析图像的正负特性,提取图像特征,依据相似度判别准则,采用模板匹配算法实现防伪识别.实验结果表明,将所提方法应用于低质量的防伪信息中,能够取得90％以上的识别率,信噪比均在60 dB以上.
Abstract
The anti-counterfeiting recognition method of product packaging adopts wavelet packet transform algo-rithm to recognize the anti-counterfeiting information,but it is easy to be affected by the positive and negative charac-teristics of the anti-counterfeiting image during the recognition,resulting in a low recognition rate.Therefore,the in-visible laser holographic anti-counterfeiting identification method of product packaging was proposed.Spatial filtering is used to sharpen the edge of security image and enhance the features of security image.Based on the image correction results,the positive and negative characteristics of the image were analyzed through the real part output and the simula-ted output of the segmentation filter,and the features of the image were extracted.According to the similarity criterion,the template matching algorithm was used to realize the anti-counterfeiting recognition.The experimental results show that the proposed method can obtain more than 90％recognition rate and the signal-to-noise ratio is above 60 dB when applied to low-quality anti-counterfeiting information.
关键词
产品外包装/隐形激光/全息防伪/识别方法Key words
product outer packaging/stealth laser/holographic anti-counterfeiting/identification method引用本文复制引用
基金项目
河南省高校人文社会科学研究一般项目(2022-ZZJH-472)
河南省社科联调研课题(SKL-2022-1799)
出版年
2024
NETL
NSTL
万方数据