Iris Recognition System Using Advanced Segmentation Techniques and Fuzzy Clustering Methods for Robotic Control.

Ben Chaabane S, Harrabi R, Seddik H

DOI: 10.3390/jimaging10110288
Published: 2024 Nov 8
Container: Journal of imaging
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/jimaging10110288,
  title = {Iris Recognition System Using Advanced Segmentation Techniques and Fuzzy Clustering Methods for Robotic Control.},
  author = {Ben Chaabane S and Harrabi R and Seddik H},
  year = {2024},
  journal = {Journal of imaging},
  doi = {10.3390/jimaging10110288},
  url = {https://doi.org/10.3390/jimaging10110288}
}

RIS

TY  - JOUR
TI  - Iris Recognition System Using Advanced Segmentation Techniques and Fuzzy Clustering Methods for Robotic Control.
AU  - Ben Chaabane S
AU  - Harrabi R
AU  - Seddik H
PY  - 2024
JO  - Journal of imaging
DO  - 10.3390/jimaging10110288
UR  - https://doi.org/10.3390/jimaging10110288
ER  -

APA

S, B. C., R, H., & H, S. (2024). Iris Recognition System Using Advanced Segmentation Techniques and Fuzzy Clustering Methods for Robotic Control.. Journal of imaging. https://doi.org/10.3390/jimaging10110288

Source records

pubmed · retrieved 2026-09-25T14:49:16.111Z