Face Recognition
Author(s):
Yatin Misra, Zeeshan Basheer, Zakir Subzar, Sambhav
Keywords:
Computer Vision, Deep Learning, Face Recognition
Abstract
Wouldn’t you're keen on to exchange password-based access control to avoid to reset forgotten password and worry about the integrity of your system? Wouldn’t you wish to rest secure in comfort that your healthcare system doesn't merely on your Social Security number as proof of your identity for granting the entry to your medical records? Because each of those questions is becoming more and more important, access to a reliable personal identification has been becoming increasingly essential. Conventional method of identification based on possession of ID cards or exclusive knowledge sort of a Social Security number or a password are not all together reliable. ID cards can be lost forged or misplaced; passwords can be forgotten or compromised. But a face is undeniably connected to its owner. It cannot be borrowed stolen or easily forged. Face recognition technology will solve this problem since a face is undeniably connected to its owner expect within the case of identical twins. It’s non-transferable. The system can then compare scans to records stored during a central or local database or maybe on a sensible card.
Article Details
Unique Paper ID: 151873

Publication Volume & Issue: Volume 8, Issue 1

Page(s): 1121 - 1123
Article Preview & Download


Share This Article

Conference Alert

ICM - STEP

International conference on Management, Science, Technology, Engineering, Pharmact and Humanities.

Go To Issue



Call For Paper

Volume 7 Issue 9

Last Date 25 February 2020

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies