2021
DOI: 10.1016/j.dsp.2021.103103
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Cancellable face recognition based on fractional-order Lorenz chaotic system and Haar wavelet fusion

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Cited by 51 publications
(23 citation statements)
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“…A video is digitized into image elements composed of square grids. Each grid has a pile of coordinates, one representing its row value and the other representing its column value [ 34 ]. The line value starts from the leftmost side of the video, and the marker word 0 ~ n represents the maximum value in the line value.…”
Section: Software Design Of Feedback System Based On Video Digital Pr...mentioning
confidence: 99%
“…A video is digitized into image elements composed of square grids. Each grid has a pile of coordinates, one representing its row value and the other representing its column value [ 34 ]. The line value starts from the leftmost side of the video, and the marker word 0 ~ n represents the maximum value in the line value.…”
Section: Software Design Of Feedback System Based On Video Digital Pr...mentioning
confidence: 99%
“…However, this results in a significant rise in the amount of computing complexity. If you cannot satisfy its requirements, you should consider using parallel computing [25].…”
Section: Related Workmentioning
confidence: 99%
“…In formula (10), * represents the convolution operation, the convolution weight of convolution kernel k j,i and base vector b j represent the training parameters, forming a clustered face local texture feature synthesis function, and sðxÞ represents the training coefficient.…”
Section: Construction Of Fast Face Recognition Model Based Onmentioning
confidence: 99%
“…Face recognition technology has not only attracted more and more attention in academic circles but also has a very wide application prospect because of its nonmandatory, noncontact, intuitive, and simple advantages. Reference [10] proposed cancelable face recognition based on fractional Lorenz chaotic system and Haar wavelet fusion. Cancelable biometric recognition technology is a technology to generate distorted or encrypted templates of original biometric templates.…”
Section: Introductionmentioning
confidence: 99%