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Quantum classifier for recognition and identification of leaf profile features

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Abstract

Quantum-based classifiers and architecture are gaining lots of attention in image representation and cryptography. The proposed algorithm applies a quantum classifier to a computer vision system for leaf recognition which can be applied to a quantum computer. Images from ten species of leaves which are categorised into two groups, namely simple and palmately, are recognised using a quantum classifier. The pixels of images are transformed to qubit states using quantum Fourier transform (QFT) and Hadamard gates. The profile and structural features are extracted by applying 1D-convolution and controlled not (CNOT) gates. A quantum nearest neighbour search classifier is used to find the closest matching leaf based on probability. The results for different levels of image processing are evaluated and compared with the nearest neighbour classifier. The recognition rate of the quantum classifier for the best level of image processing is 97.33%. The recognition rate of the classifier is better than the nearest neighbour classifier and also has a low computation time.

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Data Availability Statement

This manuscript has no associated data or the data will not be deposited. The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

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Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript and have no financial or non-financial interests to disclose.

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Authors and Affiliations

  1. State Key Laboratory of Intelligent Control and Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, 100081, China

    Amit Krishan Kumar

  2. Nguyễn Tất Thành University, District 12, Ho Chi Minh, Vietnam

    Nguyễn Ngọc Mai

  3. College of Agriculture, Fisheries and Forestry, Fiji National University, Koronivia, Suva, Fiji Islands

    Ashmit Kumar & Nividita V. Chand

  4. School of Information Technology, Engineering, Mathematics and Physics, The University of the South Pacific, Suva, Republic of Fiji

    Mansour H. Assaf

Authors
  1. Amit Krishan Kumar
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  2. Nguyễn Ngọc Mai
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  3. Ashmit Kumar
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  4. Nividita V. Chand
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  5. Mansour H. Assaf
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All authors have contributed to the manuscript. The contribution includes preparing materials, data collection, analysis, simulation, and reviewing of the manuscript. All the authors approved the final manuscript.

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Correspondence to Amit Krishan Kumar or Nguyễn Ngọc Mai.

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Kumar, A.K., Mai, N.N., Kumar, A. et al. Quantum classifier for recognition and identification of leaf profile features. Eur. Phys. J. D 76, 110 (2022). https://doi.org/10.1140/epjd/s10053-022-00429-z

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