Different Biometrical Features for Detecting Human Intrusion Using Artificial Intelligence: Literature Review | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 12, Volume 16, Issue 2, December 2022, Pages 97-107 PDF (828.48 K) | ||
| Document Type: Review Paper | ||
| DOI: 10.33899/csmj.2022.176596 | ||
| Author | ||
| Ansam Nazar Younis* | ||
| University of Mosul | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| Biometrical features; Practical swarm intelligent; neural network | ||
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