A cancelable ear recognition system via optimized deep feature fusion.
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| Title: | A cancelable ear recognition system via optimized deep feature fusion. |
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| Authors: | Elsharkawy ZF; Engineering Department, Nuclear Research Center, Egyptian Atomic Energy Authority (EAEA), Cairo, Egypt. Zeinab_Elsharkawy@yahoo.com., Omran EM; Department of Nuclear Safety and Radiological Emergencies, NCRRT, Egyptian Atomic Energy Authority (EAEA), Cairo, Egypt., Eisa AA; Department of Nuclear Safety and Radiological Emergencies, NCRRT, Egyptian Atomic Energy Authority (EAEA), Cairo, Egypt., Saleh AA; Department of Nuclear Safety and Radiological Emergencies, NCRRT, Egyptian Atomic Energy Authority (EAEA), Cairo, Egypt., Ismail NA; Department of Computer Science and Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt., El-Samie FEA; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menoufia, 32952, Egypt. |
| Source: | Scientific reports [Sci Rep] 2026 Jun 13; Vol. 16 (1). Date of Electronic Publication: 2026 Jun 13. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-026-57027-x |
