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...

Full description

Saved in:
Bibliographic Details
Main Author: Ansam Younis
Format: Article
Language:English
Published: Mosul University 2022-12-01
Series:Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:
Online Access:https://csmj.mosuljournals.com/article_176596_a8dd18d26d5c049360e401e946702ef8.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1815-4816
2311-7990