Different Biometrical Features for Detecting Human Intrusion Using Artificial Intelligence: Literature Review
Many cases of theft and property trespass in addition to crimes occur in the world after these people break into people's homes and buildings illegally, so this article aims to shed light on most of the smart methods and computer technologies used in identifying people that help to reduce these...
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| Format: | Article |
| Language: | English |
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Mosul University
2022-12-01
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| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
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| Online Access: | https://csmj.mosuljournals.com/article_176596_a8dd18d26d5c049360e401e946702ef8.pdf |
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| _version_ | 1849768435520634880 |
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| author | Ansam Younis |
| author_facet | Ansam Younis |
| author_sort | Ansam Younis |
| collection | DOAJ |
| description | Many cases of theft and property trespass in addition to crimes occur in the world after these people break into people's homes and buildings illegally, so this article aims to shed light on most of the smart methods and computer technologies used in identifying people that help to reduce these crimes. Where the diversity of biometric traits was relied upon, such as fingerprint, handprint, ear, face, texture, some deformations characteristic of people, eye, footprints, DNA analysis and other important biometric traits. Also, many intelligent algorithms were used to identify these traits. |
| format | Article |
| id | doaj-art-f0e648b8304844dd9d1a93663d694ebc |
| institution | DOAJ |
| issn | 1815-4816 2311-7990 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Mosul University |
| record_format | Article |
| series | Al-Rafidain Journal of Computer Sciences and Mathematics |
| spelling | doaj-art-f0e648b8304844dd9d1a93663d694ebc2025-08-20T03:03:46ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902022-12-011629710710.33899/csmj.2022.176596176596Different Biometrical Features for Detecting Human Intrusion Using Artificial Intelligence: Literature ReviewAnsam Younis0University of MosulMany cases of theft and property trespass in addition to crimes occur in the world after these people break into people's homes and buildings illegally, so this article aims to shed light on most of the smart methods and computer technologies used in identifying people that help to reduce these crimes. Where the diversity of biometric traits was relied upon, such as fingerprint, handprint, ear, face, texture, some deformations characteristic of people, eye, footprints, DNA analysis and other important biometric traits. Also, many intelligent algorithms were used to identify these traits.https://csmj.mosuljournals.com/article_176596_a8dd18d26d5c049360e401e946702ef8.pdfbiometrical featurespractical swarm intelligentneural network |
| spellingShingle | Ansam Younis Different Biometrical Features for Detecting Human Intrusion Using Artificial Intelligence: Literature Review Al-Rafidain Journal of Computer Sciences and Mathematics biometrical features practical swarm intelligent neural network |
| title | Different Biometrical Features for Detecting Human Intrusion Using Artificial Intelligence: Literature Review |
| title_full | Different Biometrical Features for Detecting Human Intrusion Using Artificial Intelligence: Literature Review |
| title_fullStr | Different Biometrical Features for Detecting Human Intrusion Using Artificial Intelligence: Literature Review |
| title_full_unstemmed | Different Biometrical Features for Detecting Human Intrusion Using Artificial Intelligence: Literature Review |
| title_short | Different Biometrical Features for Detecting Human Intrusion Using Artificial Intelligence: Literature Review |
| title_sort | different biometrical features for detecting human intrusion using artificial intelligence literature review |
| topic | biometrical features practical swarm intelligent neural network |
| url | https://csmj.mosuljournals.com/article_176596_a8dd18d26d5c049360e401e946702ef8.pdf |
| work_keys_str_mv | AT ansamyounis differentbiometricalfeaturesfordetectinghumanintrusionusingartificialintelligenceliteraturereview |