Open Access

ARTICLE

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

by Li Li¹, Chen Cui^1,2, Jianfeng Lu¹, Shanqing Zhang^1,*, Ching-Chun Chang³

1 Hangzhou Dianzi University, Hangzhou, 310018, China
2 Zhejiang Police College, Hangzhou, 310018, China
3 University of Warwick, Coventry, CV4 7AL, UK

* Corresponding Author: Shanqing Zhang. Email:

Computer Systems Science and Engineering 2021, 38(3), 291-303. https://doi.org/10.32604/csse.2021.016340

Received 30 December 2020; Accepted 26 February 2021; Issue published 19 May 2021

Abstract

As an efficient technique for anti-counterfeiting, holographic diffraction labels has been widely applied to various fields. Due to their unique feature, traditional image recognition algorithms are not ideal for the holographic diffraction label recognition. Since 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 features. The 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, respectively. Meanwhile, the tensor decomposition is performed by high order singular value decomposition, and tensor decomposition matrices are obtained. Taking 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 performed. The effectiveness of our fusion strategy is verified by experiments. Our double tensor recognition algorithm complements the recognition capability of different tensors to produce better recognition performance for the holographic diffraction label system.

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Keywords

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