Identifying three-dimensional palmprints with Modified Four-Patch Local Binary Pattern (MFPLBP)
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 Fo...
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2025-06-01
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| Series: | International Journal of Electronics and Telecommunications |
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| Online Access: | https://journals.pan.pl/Content/135255/27_5044_L_Al_Kaltakchi_sk.pdf |
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| author | Musab T.S. Al-Kaltakchi Manhal Ahmad Saleh Al-Hussein Raid Rafi Omar Al-Nima |
| author_facet | Musab T.S. Al-Kaltakchi Manhal Ahmad Saleh Al-Hussein Raid Rafi Omar Al-Nima |
| author_sort | Musab T.S. Al-Kaltakchi |
| collection | DOAJ |
| description | 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 integrating 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 stateof- 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. |
| format | Article |
| id | doaj-art-dfb1308e5a2b481eabcb5667e356edf0 |
| institution | OA Journals |
| issn | 2081-8491 2300-1933 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | International Journal of Electronics and Telecommunications |
| spelling | doaj-art-dfb1308e5a2b481eabcb5667e356edf02025-08-20T02:32:05ZengPolish Academy of SciencesInternational Journal of Electronics and Telecommunications2081-84912300-19332025-06-01vol. 71No 2555559https://doi.org/10.24425/ijet.2025.153604Identifying three-dimensional palmprints with Modified Four-Patch Local Binary Pattern (MFPLBP)Musab T.S. Al-Kaltakchi0Manhal Ahmad Saleh Al-Hussein1Raid Rafi Omar Al-Nima2Department of Electrical Engineering,College of Engineering, Mustansiriyah University, Baghdad, IraqTechnical Engineering Collegeof Mosul, Northern Technical University, Iraq. & The Directorate of CivilAffairs, Passports and Residency in Ninewa GovernorateTechnical Engineering College of Mosul,Northern Technical University, IraqPalmprint 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 integrating 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 stateof- 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.https://journals.pan.pl/Content/135255/27_5044_L_Al_Kaltakchi_sk.pdfpalmprint identificationbiometricsfour-patchlocal binary patternpolyu 3d palmprint database |
| spellingShingle | Musab T.S. Al-Kaltakchi Manhal Ahmad Saleh Al-Hussein Raid Rafi Omar Al-Nima Identifying three-dimensional palmprints with Modified Four-Patch Local Binary Pattern (MFPLBP) International Journal of Electronics and Telecommunications palmprint identification biometrics four-patchlocal binary pattern polyu 3d palmprint database |
| title | Identifying three-dimensional palmprints with Modified Four-Patch Local Binary Pattern (MFPLBP) |
| title_full | Identifying three-dimensional palmprints with Modified Four-Patch Local Binary Pattern (MFPLBP) |
| title_fullStr | Identifying three-dimensional palmprints with Modified Four-Patch Local Binary Pattern (MFPLBP) |
| title_full_unstemmed | Identifying three-dimensional palmprints with Modified Four-Patch Local Binary Pattern (MFPLBP) |
| title_short | Identifying three-dimensional palmprints with Modified Four-Patch Local Binary Pattern (MFPLBP) |
| title_sort | identifying three dimensional palmprints with modified four patch local binary pattern mfplbp |
| topic | palmprint identification biometrics four-patchlocal binary pattern polyu 3d palmprint database |
| url | https://journals.pan.pl/Content/135255/27_5044_L_Al_Kaltakchi_sk.pdf |
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