Research on Palmprint Identification Method Based on Quantum Algorithms

Li, Hui; Zhang, Zhanzhan

doi:10.1155/2014/670328

Cited by 5 publications

(5 citation statements)

References 23 publications

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“…To identify additional pattern metrics, we converted two-dimensional spatial data to a frequency domain using two-dimensional fast Fourier transformation (FFT) ( Li and Zhang, 2014 ; Li et al, 1996 ; Smith, 1997 ; Xu, 1996 ). We defined pattern orientation ( Ω ) to indicate the relative contributions of peaks in frequency between axes (DV:AP), distinguishing stripes ( Ω <0) and bars ( Ω >0), from spots or uniform patterns that lack orientation ( Ω ≈0).…”

Section: Resultsmentioning

confidence: 99%

Pigment pattern morphospace ofDaniofishes: evolutionary diversification and mutational effects

et al. 2021

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Molecular and cellular mechanisms underlying variation in adult form remain largely unknown. Adult pigment patterns of fishes in the genus Danio, which includes zebrafish, D. rerio, consist of horizontal stripes, vertical bars, spots and uniform patterns, and provide an outstanding opportunity to identify causes of species level variation in a neural crest derived trait. Understanding pigment pattern variation requires quantitative approaches to assess phenotypes, yet such methods have been mostly lacking for pigment patterns. We introduce metrics derived from information theory that describe patterns and pattern variation in Danio fishes. We find that these metrics used singly and in multivariate combinations are suitable for distinguishing general pattern types, and can reveal even subtle phenotypic differences attributable to mutations. Our study provides new tools for analyzing pigment pattern in Danio and potentially other groups, and sets the stage for future analyses of pattern morphospace and its mechanistic underpinnings.

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Section: Resultsmentioning

confidence: 99%

Pigment pattern morphospace ofDaniofishes: evolutionary diversification and mutational effects

et al. 2021

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“…To identify additional pattern metrics, we converted two-dimensional spatial data to a frequency domain using two-dimensional fast Fourier transformation (FFT) [49][50][51][52]. We defined pattern orientation (Ω) to indicate the relative contributions of peaks in frequency between axes (DV:AP), distinguishing stripes (Ω < 0) and bars (Ω > 0), from spots or uniform patterns that lack orientation (Ω ≈ 0).…”

Section: Resultsmentioning

confidence: 99%

Pigment pattern morphospace ofDaniofishes: evolutionary diversification and mutational effects

McCluskey

Liang

Lewis

et al. 2021

Preprint

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Molecular and cellular mechanisms underlying differences in adult form remain largely unknown. Adult pigment patterns of fishes in the genus Danio, which includes zebrafish, D. rerio, include horizontal stripes, vertical bars, spots and uniform patterns, and provide an outstanding opportunity to identify causes of species level variation in a neural crest derived trait. Yet understanding such variation requires quantitative approaches to assess phenotypes, and such methods have been mostly lacking for pigment patterns. We introduce metrics derived from information theory that describe patterns and pattern variation in Danio fishes. We find that such metrics used singly and in multivariate combinations are suitable for distinguishing general pattern types, and can reveal even subtle phenotypic differences attributable to mutations. Our study provides new tools for analyzing pigment pattern in Danio and potentially other groups, and sets the stage for future analyses of pattern morphospace and its mechanistic underpinnings.

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“…Further improvement on using QC in image processing has been made by Li et al (Li & Zhang, 2014). In their article published in 2014 they used four different quantum algorithms to improve palm-print identification.…”

Section: Application In Image Processingmentioning

confidence: 99%

Quantum Computing in the Biomedical Sciences; A Brief Introduction into Concepts and Applications

Kerk¹,

Csala²,

Zwinderman³

2019

CIS

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Quantum computing is a field that aims to exploit the principles of superposition and entanglement to perform computations. By using quantum bits (qubits) a quantum computer is able to perform certain tasks more efficiently when compared to classical computers. While applied quantum computing is still in its early stages, quantum algorithms on simulated quantum computers have already been applied to certain problems in epidemics modeling and image processing. Furthermore, companies like Google and IBM continue to develop new quantum computers with an increasing number of qubits. While much progress has been made in the recent years, the so called ”quantum supremacy”has not yet been achieved, and quantum computing appears to be still unsuitable for most applications in biomedical sciences.

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Research on Palmprint Identification Method Based on Quantum Algorithms

Cited by 5 publications

References 23 publications

Pigment pattern morphospace ofDaniofishes: evolutionary diversification and mutational effects

Pigment pattern morphospace ofDaniofishes: evolutionary diversification and mutational effects

Pigment pattern morphospace ofDaniofishes: evolutionary diversification and mutational effects

Quantum Computing in the Biomedical Sciences; A Brief Introduction into Concepts and Applications

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