Iris Recognition System using Advanced Segmentation Techniques and Fuzzy Clustering Methods for Robot Control

Slim Ben Chaabane, Rafika Mohamed Salah Harrabi, Hassene Seddik

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DOI: 10.20944/preprints202409.1698.v1
Published: 2024-09-24
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Publisher: MDPI AG
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Cite this work

BibTeX

@article{allodium:10.20944/preprints202409.1698.v1,
  title = {Iris Recognition System using Advanced Segmentation Techniques and Fuzzy Clustering Methods for Robot Control},
  author = {Slim Ben Chaabane and Rafika Mohamed Salah Harrabi and Hassene Seddik},
  year = {2024},
  doi = {10.20944/preprints202409.1698.v1},
  url = {https://doi.org/10.20944/preprints202409.1698.v1}
}

RIS

TY  - JOUR
TI  - Iris Recognition System using Advanced Segmentation Techniques and Fuzzy Clustering Methods for Robot Control
AU  - Slim Ben Chaabane
AU  - Rafika Mohamed Salah Harrabi
AU  - Hassene Seddik
PY  - 2024
DO  - 10.20944/preprints202409.1698.v1
UR  - https://doi.org/10.20944/preprints202409.1698.v1
ER  -

APA

Chaabane, S. B., Harrabi, R. M. S., & Seddik, H. (2024). Iris Recognition System using Advanced Segmentation Techniques and Fuzzy Clustering Methods for Robot Control. https://doi.org/10.20944/preprints202409.1698.v1

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crossref · retrieved 2026-09-26T09:42:29.751Z