A Holographic Diffraction Label Recognition Algorithm Based on Fusion Double Tensor Features

作     者：Li Li Chen Cui Jianfeng Lu Shanqing Zhang Ching-Chun Chang 

作者机构：Hangzhou Dianzi UniversityHangzhou310018China Zhejiang Police CollegeHangzhou310018China University of WarwickCoventryCV47ALUK 

出 版 物：《Computer Systems Science & Engineering》 (计算机系统科学与工程（英文）)

年 卷 期：2021年第38卷第9期

页      面：291-303页

核心收录：

学科分类：070207[理学-光学] 07[理学] 08[工学] 0803[工学-光学工程] 0702[理学-物理学] 

基　　金：This work was mainly supported by Public Welfare Technology and Industry Project of Zhejiang Provincial Science Technology Department.(No.LGG18F020013 No.LGG19F020016 LGF21F020006) 

主　　题：Label recognition holographic diffraction fusion double tensor matrix similarity 

摘      要：As an efficient technique for anti-counterfeiting,holographic diffraction labels has been widely applied to various *** to their unique feature,traditional image recognition algorithms are not ideal for the holographic diffraction label *** a tensor preserves the spatiotemporal features of an original sample in the process of feature extraction,in this paper we propose a new holographic diffraction label recognition algorithm that combines two tensor *** HSV(Hue Saturation Value)tensor and the HOG(Histogram of Oriented Gradient)tensor are used to represent the color information and gradient information of holographic diffraction label,***,the tensor decomposition is performed by high order singular value decomposition,and tensor decomposition matrices are *** into consideration of the different recognition capabilities of decomposition matrices,we design a decomposition matrix similarity fusion strategy using a typical correlation analysis algorithm and projection from similarity vectors of different decomposition matrices to the PCA(Principal Component Analysis)sub-space,then,the sub-space performs KNN(K-Nearest Neighbors)classification is *** effectiveness of our fusion strategy is verified by *** double tensor recognition algorithm complements the recognition capability of different tensors to produce better recognition performance for the holographic diffraction label system.