An Artificial Intelligence Approach for Verifying Persons by Employing the Deoxyribonucleic Acid (DNA) Nucleotides
Deoxyribonucleic acid (DNA) can be considered as one of the most useful biometrics. It has effectively been used for recognizing persons. However, it seems that there is still a need to propose a new approach for verifying humans, especially after the recent big wars, where too many people lost and...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2023/6678837 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832559729857003520 |
|---|---|
| author | Raid Rafi Omar Al-Nima Marwa Mawfaq Mohamedsheet Al-Hatab Maysaloon Abed Qasim |
| author_facet | Raid Rafi Omar Al-Nima Marwa Mawfaq Mohamedsheet Al-Hatab Maysaloon Abed Qasim |
| author_sort | Raid Rafi Omar Al-Nima |
| collection | DOAJ |
| description | Deoxyribonucleic acid (DNA) can be considered as one of the most useful biometrics. It has effectively been used for recognizing persons. However, it seems that there is still a need to propose a new approach for verifying humans, especially after the recent big wars, where too many people lost and die. This approach should have the capability to provide high personal verification performance. In this paper, a personal recognition approach based on artificial intelligence is proposed. This approach is called the artificial DNA algorithm for recognition (ADAR). It utilizes a unique identity for each person acquired from DNA nucleotides, and it can verify individuals efficiently with high performance. The ADAR has been designed and applied to multiple datasets, namely, the DNA classification (DC), sample DNA sequence (SDS), human DNA sequences (HDS), and DNA sequences (DS). For all datasets, a low value of 0% is achieved for each of the false acceptance rate (FAR) and false rejection rate (FRR). |
| format | Article |
| id | doaj-art-e482bf1664eb476f83d28b0c5aecb43f |
| institution | Kabale University |
| issn | 2090-0155 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-e482bf1664eb476f83d28b0c5aecb43f2025-02-03T01:29:24ZengWileyJournal of Electrical and Computer Engineering2090-01552023-01-01202310.1155/2023/6678837An Artificial Intelligence Approach for Verifying Persons by Employing the Deoxyribonucleic Acid (DNA) NucleotidesRaid Rafi Omar Al-Nima0Marwa Mawfaq Mohamedsheet Al-Hatab1Maysaloon Abed Qasim2Technical Engineering College of MosulTechnical Engineering College of MosulTechnical Engineering College of MosulDeoxyribonucleic acid (DNA) can be considered as one of the most useful biometrics. It has effectively been used for recognizing persons. However, it seems that there is still a need to propose a new approach for verifying humans, especially after the recent big wars, where too many people lost and die. This approach should have the capability to provide high personal verification performance. In this paper, a personal recognition approach based on artificial intelligence is proposed. This approach is called the artificial DNA algorithm for recognition (ADAR). It utilizes a unique identity for each person acquired from DNA nucleotides, and it can verify individuals efficiently with high performance. The ADAR has been designed and applied to multiple datasets, namely, the DNA classification (DC), sample DNA sequence (SDS), human DNA sequences (HDS), and DNA sequences (DS). For all datasets, a low value of 0% is achieved for each of the false acceptance rate (FAR) and false rejection rate (FRR).http://dx.doi.org/10.1155/2023/6678837 |
| spellingShingle | Raid Rafi Omar Al-Nima Marwa Mawfaq Mohamedsheet Al-Hatab Maysaloon Abed Qasim An Artificial Intelligence Approach for Verifying Persons by Employing the Deoxyribonucleic Acid (DNA) Nucleotides Journal of Electrical and Computer Engineering |
| title | An Artificial Intelligence Approach for Verifying Persons by Employing the Deoxyribonucleic Acid (DNA) Nucleotides |
| title_full | An Artificial Intelligence Approach for Verifying Persons by Employing the Deoxyribonucleic Acid (DNA) Nucleotides |
| title_fullStr | An Artificial Intelligence Approach for Verifying Persons by Employing the Deoxyribonucleic Acid (DNA) Nucleotides |
| title_full_unstemmed | An Artificial Intelligence Approach for Verifying Persons by Employing the Deoxyribonucleic Acid (DNA) Nucleotides |
| title_short | An Artificial Intelligence Approach for Verifying Persons by Employing the Deoxyribonucleic Acid (DNA) Nucleotides |
| title_sort | artificial intelligence approach for verifying persons by employing the deoxyribonucleic acid dna nucleotides |
| url | http://dx.doi.org/10.1155/2023/6678837 |
| work_keys_str_mv | AT raidrafiomaralnima anartificialintelligenceapproachforverifyingpersonsbyemployingthedeoxyribonucleicaciddnanucleotides AT marwamawfaqmohamedsheetalhatab anartificialintelligenceapproachforverifyingpersonsbyemployingthedeoxyribonucleicaciddnanucleotides AT maysaloonabedqasim anartificialintelligenceapproachforverifyingpersonsbyemployingthedeoxyribonucleicaciddnanucleotides AT raidrafiomaralnima artificialintelligenceapproachforverifyingpersonsbyemployingthedeoxyribonucleicaciddnanucleotides AT marwamawfaqmohamedsheetalhatab artificialintelligenceapproachforverifyingpersonsbyemployingthedeoxyribonucleicaciddnanucleotides AT maysaloonabedqasim artificialintelligenceapproachforverifyingpersonsbyemployingthedeoxyribonucleicaciddnanucleotides |