Open AccessImplementation of Aadhaar Verified, face Recognition based Security Surveillance
Author(s) -
Kartikeya P Malimath*,
Swapna Joshi,
M Chethan,
Haritha Ravikumar,
C. Divya
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i7183.079920
Subject(s) - computer science , pace , classifier (uml) , computer security , python (programming language) , facial recognition system , haar like features , face detection , artificial intelligence , internet privacy , machine learning , pattern recognition (psychology) , operating system , geodesy , geography
Security and Authentication is a basic piece of any industry. In Real time, Human face acknowledgment can be acted in two phases, for example, Face discovery and Face acknowledgment. This paper actualizes "Haar-Cascade calculation" to distinguish human faces which are sorted out in Open CV by Python language. Gathering with other existing calculations, this classifier creates a high acknowledgment rate even with shifting articulations, effective element determination and low combination of bogus positive highlights. Haar highlight based course classifier framework uses just 200 highlights out of 6000 highlights to yield an acknowledgment pace of 85-95%.