A Comprehensive Study of Face Recognition for Security-Based Systems

+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page A Comprehensive Study of Face Recognition for Security-Based Systems Chethana Prasad K, Disha S, Divya TM, Sunil Kumar GR Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance is difficult or infeasible. Within the field of data analytics, machine learning is a method used to devise complex models and algorithms that lend themselves to prediction. These analytical models allow researchers, data scientists, engineers, and analysts to "produce reliable, decisions and results" and uncover "hidden insights" through learning from historical relationships and trends in the data. • To create a secure system to authenticate users who are not completely blind. • To create a secure password authentication system which uses Morse code. • To make sure that the captured face should be detected and recognized by the system and should be validated. To provide a platform for the people who have to enter a secured place by which they can create a secure private account to which only they can access. Our solution would allow persons to interact with devices and in this authentication is bit more increased by instead of giving some authentication code by keyboard. This project gives catch phrase and less using of hardware sensors which is using in nowadays. Downloads: | DOI: 10.17148/IARJSET.2021.8562 How to Cite: [1] Chethana Prasad K, Disha S, Divya TM, Sunil Kumar GR, "A Comprehensive Study of Face Recognition for Security-Based Systems," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: IARJSET.2021.8562 Copy Citation Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat