Identifying three-dimensional palmprints with Modified Four-Patch Local Binary Pattern (MFPLBP)

• Autorzy: Al-Kaltakchi Musab T.S. , Al-Hussein Manhal Ahmad Saleh , Al-Nima Raid Rafi Omar

Identyfikatory

DOI

10.24425/ijet.2025.153604

• Języki publikacji: EN

Abstrakty

EN

Palmprint biometrics is the best method of identifying an individual with a unique palmprint for every person. The present paper formulates a new methodology towards the identification of 3D palmprints using the Modified Four-Patch Local Binary Pattern (MFPLBP). It improves upon the conventional Four-Patch Local Binary Pattern (FPLBP) by inte-grating the adaptive weight with the improved texture extraction. Both approaches are created to support the intricate surface information of 3D palmprints. The MFPLBP can exactly capture local variations and is noise and illumination invariant. There are extensive experiments done in this paper and establish that MFPLBP outperforms traditional LBP methods and other state-of-the-art methods in recognition rates. The experiments establish that MFPLBP is a efficient and effective method of making use of 3D palmprints in real-world biometric verification.

Słowa kluczowe

EN

Palmprint identification; Biometrics; Four-Patch Local Binary Pattern; PolyU 3D Palmprint Database

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2025
• Tom: Vol. 71, No. 2
• Strony: 555--559
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Al-Kaltakchi Musab T.S.

• College of Engineering, Mustansiriyah University, Baghdad, Iraq

• https://orcid.org/0000-0001-5542-9144

autor

Al-Hussein Manhal Ahmad Saleh

• Technical Engineering College of Mosul, Northern Technical University, Iraq

autor

Al-Nima Raid Rafi Omar

• Technical Engineering College of Mosul, Northern Technical University, Iraq

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).