Implementation of Aadhaar Verified, face Recognition based Security Surveillance | Zendy

Kartikeya P Malimath | Zendy; Soumaya L G Joshi | Zendy; M Chethan | Zendy; Hemachandran Ravikumar | Zendy; C. Divya | Zendy

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Implementation of Aadhaar Verified, face Recognition based Security Surveillance

Author(s) -

Kartikeya P Malimath,

Soumaya L G Joshi,

M Chethan,

Hemachandran 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) - pace , computer science , computer security , python (programming language) , haar like features , classifier (uml) , facial recognition system , biometrics , face detection , artificial intelligence , 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%.

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