Mosul University
  • Register
  • Login
  • العربیة

AL-Rafidain Journal of Computer Sciences and Mathematics

Notice

As part of Open Journals’ initiatives, we create website for scholarly open access journals. If you are responsible for this journal and would like to know more about how to use the editorial system, please visit our website at https://ejournalplus.com or
send us an email to info@ejournalplus.com

We will contact you soon

  1. Home
  2. Volume 16, Issue 2
  3. Author

Current Issue

By Issue

By Subject

Keyword Index

Author Index

Indexing Databases XML

About Journal

Aims and Scope

Editorial Board

Editorial Staff

Publication Ethics

Indexing and Abstracting

Related Links

Peer Review Process

News

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

    Ansam Nazar Younis

AL-Rafidain Journal of Computer Sciences and Mathematics, 2022, Volume 16, Issue 2, Pages 97-107
10.33899/csmj.2022.176596

  • Show Article
  • Download
  • Cite
  • Statistics
  • Share

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
Main Subjects:
  • Bioinformatics
  • PDF (828 K)
  • XML
(2022). Different Biometrical Features for Detecting Human Intrusion Using Artificial Intelligence: Literature Review. AL-Rafidain Journal of Computer Sciences and Mathematics, 16(2), 97-107. doi: 10.33899/csmj.2022.176596
Ansam Nazar Younis. "Different Biometrical Features for Detecting Human Intrusion Using Artificial Intelligence: Literature Review". AL-Rafidain Journal of Computer Sciences and Mathematics, 16, 2, 2022, 97-107. doi: 10.33899/csmj.2022.176596
(2022). 'Different Biometrical Features for Detecting Human Intrusion Using Artificial Intelligence: Literature Review', AL-Rafidain Journal of Computer Sciences and Mathematics, 16(2), pp. 97-107. doi: 10.33899/csmj.2022.176596
Different Biometrical Features for Detecting Human Intrusion Using Artificial Intelligence: Literature Review. AL-Rafidain Journal of Computer Sciences and Mathematics, 2022; 16(2): 97-107. doi: 10.33899/csmj.2022.176596
  • RIS
  • EndNote
  • BibTeX
  • APA
  • MLA
  • Harvard
  • Vancouver
  • Article View: 52
  • PDF Download: 57
  • LinkedIn
  • Twitter
  • Facebook
  • Google
  • Telegram
  • Home
  • Glossary
  • News
  • Aims and Scope
  • Privacy Policy
  • Sitemap
Powered by eJournalPlus