Research on Iris Recognition Method Based on Quantum Algorithms

Hui Li, Suyan Zhang, Zhanzhan Zhang

Abstract


Traditional iris recognition method has low speed and searching rate in large-scale unstructured database. Three different quantum algorithms are proposed in iris recognition. Quantum filtering algorithm can get a better filtering result than classical algorithm in iris filtering process. Quantum Fourier transforms exhibits an exponential speed-up compared with discrete Fourier transform in feature extraction. Improved Grover algorithm can reduce the matching time in the step of iris matching. The experiment results show that matching numbers and matching time reduce greatly.

Keywords


Iris Recognition; Quantum Adaptive Median Filtering; Quantum Parallelism; Quantum Fourier Transform; Grover Algorithm

Full Text:

PDF


DOI: http://doi.org/10.11591/ijeecs.v12.i9.pp6846-6851

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

shopify stats IJEECS visitor statistics