Different Biometrical Features for Detecting Human Intrusion Using Artificial Intelligence: Literature Review

Section: Review Paper
Published
Jun 25, 2025
Pages
97-107

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.

Identifiers

Download this PDF file

Statistics

How to Cite

Nazar Younis, A., & انسام. (2025). Different Biometrical Features for Detecting Human Intrusion Using Artificial Intelligence: Literature Review. AL-Rafidain Journal of Computer Sciences and Mathematics, 16(2), 97–107. Retrieved from https://rjps.uomosul.edu.iq/index.php/csmj/article/view/19819