International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 3 May-June 2024 Submit your research before last 3 days of June to publish your research paper in the issue of May-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 3
May-June 2024

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Automatic Biometric Recognition

Author(s) JAYANTHAN S K
Country India
Abstract Biometric authentication systems are innovative tools that use unique biological characteristics to verify and confirm identity. With the help of advanced technology, these systems can automatically recognize individuals based on traits like facial features, fingerprints, or iris patterns. In this abstract, we will discuss how these systems work and how they can benefit us in everyday scenarios. These systems use sensors, such as cameras or scanners, to capture and analyze biological information. For example, facial recognition systems detect and map key points on a person's face to create a unique digital template. This template is then compared with stored data to confirm identity. The primary goal of these systems is to provide quick and accurate identification without the need for traditional methods like passwords or ID cards. One of the significant benefits of these systems is their efficiency. They work swiftly, recognizing individuals in a matter of seconds, thereby enhancing security protocols and streamlining access to various spaces, such as offices, schools, or public areas. Moreover, these authentication systems focus on user convenience. Once registered, individuals don't need to remember passwords or carry physical identification; their unique biological traits serve as their access keys.
Keywords Biometric authentication facial recognition fingerprint recognition iris recognition automatic identification authentication systems biometric sensors user authentication.
Field Engineering
Published In Volume 6, Issue 1, January-February 2024
Published On 2024-02-11
Cite This Automatic Biometric Recognition - JAYANTHAN S K - IJFMR Volume 6, Issue 1, January-February 2024. DOI 10.36948/ijfmr.2024.v06i01.13236
DOI https://doi.org/10.36948/ijfmr.2024.v06i01.13236
Short DOI https://doi.org/gthqpk
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 3 Cover Page Vol 6 Isu 2 Cover Page Vol 6 Isu 1

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9898-5948-55 editor@ijfmr.com