Utilizing Fingerphotos with Deep Learning Techniques to Recognize Individuals
Biometrics based personal verification for mobile phone devices are currently well-known. In this study, a verification approach is suggested depending on fingerphoto pictures. Couple of Deep Fingerphotos Learning (CDFL) approach is proposed, where two Deep Learning (DL) networks are involved. A fi...
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| Format: | Article |
| Language: | English |
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Northern Technical University
2023-04-01
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| Series: | NTU Journal of Engineering and Technology |
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| Online Access: | https://journals.ntu.edu.iq/index.php/NTU-JET/article/view/318 |
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| author | Raid Rafi Omar Al-Nima Saba Q. Hasan Sahar Esmaiel Mahmood |
| author_facet | Raid Rafi Omar Al-Nima Saba Q. Hasan Sahar Esmaiel Mahmood |
| author_sort | Raid Rafi Omar Al-Nima |
| collection | DOAJ |
| description |
Biometrics based personal verification for mobile phone devices are currently well-known. In this study, a verification approach is suggested depending on fingerphoto pictures. Couple of Deep Fingerphotos Learning (CDFL) approach is proposed, where two Deep Learning (DL) networks are involved. A fingerphoto picture of the index finger is verified using the first DL network. To recognize a fingerphoto picture of a middle finger, another DL network is used. Then, the outputs of the two networks are integrated. Fingerphoto pictures from the IIITD smartphone fingerphoto dataset are used in this work. The results yield that the accuracy of the first DL network is reported as 76.95% and the accuracy of the second DL network is reported as 86.33%. Whereas, the overall accuracy of the proposed CDFL method after integrating both DL networks is benchmarked as 96.48%.
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| format | Article |
| id | doaj-art-1ffd2c57c8354accb0597ac8fe153fcc |
| institution | Kabale University |
| issn | 2788-9971 2788-998X |
| language | English |
| publishDate | 2023-04-01 |
| publisher | Northern Technical University |
| record_format | Article |
| series | NTU Journal of Engineering and Technology |
| spelling | doaj-art-1ffd2c57c8354accb0597ac8fe153fcc2025-08-24T13:09:39ZengNorthern Technical UniversityNTU Journal of Engineering and Technology2788-99712788-998X2023-04-012110.56286/ntujet.v2i1.318319Utilizing Fingerphotos with Deep Learning Techniques to Recognize IndividualsRaid Rafi Omar Al-Nima0Saba Q. Hasan1Sahar Esmaiel Mahmood2Northern Technical UniversityNorthern Technical UniversityNorthern Technical University Biometrics based personal verification for mobile phone devices are currently well-known. In this study, a verification approach is suggested depending on fingerphoto pictures. Couple of Deep Fingerphotos Learning (CDFL) approach is proposed, where two Deep Learning (DL) networks are involved. A fingerphoto picture of the index finger is verified using the first DL network. To recognize a fingerphoto picture of a middle finger, another DL network is used. Then, the outputs of the two networks are integrated. Fingerphoto pictures from the IIITD smartphone fingerphoto dataset are used in this work. The results yield that the accuracy of the first DL network is reported as 76.95% and the accuracy of the second DL network is reported as 86.33%. Whereas, the overall accuracy of the proposed CDFL method after integrating both DL networks is benchmarked as 96.48%. https://journals.ntu.edu.iq/index.php/NTU-JET/article/view/318Fingerphoto, Verification, Deep Learning, Recognition, Convolutional Neural Networks (CNN). |
| spellingShingle | Raid Rafi Omar Al-Nima Saba Q. Hasan Sahar Esmaiel Mahmood Utilizing Fingerphotos with Deep Learning Techniques to Recognize Individuals NTU Journal of Engineering and Technology Fingerphoto, Verification, Deep Learning, Recognition, Convolutional Neural Networks (CNN). |
| title | Utilizing Fingerphotos with Deep Learning Techniques to Recognize Individuals |
| title_full | Utilizing Fingerphotos with Deep Learning Techniques to Recognize Individuals |
| title_fullStr | Utilizing Fingerphotos with Deep Learning Techniques to Recognize Individuals |
| title_full_unstemmed | Utilizing Fingerphotos with Deep Learning Techniques to Recognize Individuals |
| title_short | Utilizing Fingerphotos with Deep Learning Techniques to Recognize Individuals |
| title_sort | utilizing fingerphotos with deep learning techniques to recognize individuals |
| topic | Fingerphoto, Verification, Deep Learning, Recognition, Convolutional Neural Networks (CNN). |
| url | https://journals.ntu.edu.iq/index.php/NTU-JET/article/view/318 |
| work_keys_str_mv | AT raidrafiomaralnima utilizingfingerphotoswithdeeplearningtechniquestorecognizeindividuals AT sabaqhasan utilizingfingerphotoswithdeeplearningtechniquestorecognizeindividuals AT saharesmaielmahmood utilizingfingerphotoswithdeeplearningtechniquestorecognizeindividuals |