Implementation of Aadhaar Verified, face Recognition based Security Surveillance
Kartikeya P Malimath1, Soumaya LG Joshi2, Chethan M3, Ravikumar H S4, Divya C D5
1Kartikeya P Malimath, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysore, Karnataka, India.
2Soumaya LG Joshi, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysore, Karnataka, India.
3Chethan M, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysore, Karnataka, India.
4Ravikumar H S, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysore, Karnataka, India.
5Divya C D, Assistant Professor, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysore, Karnataka, India
Manuscript received on June 24, 2020. | Revised Manuscript received on July 05, 2020. | Manuscript published on July 10, 2020. | PP: 415-420 | Volume-9 Issue-9, July 2020 | Retrieval Number: 100.1/ijitee.I7183079920 | DOI: 10.35940/ijitee.I7183.079920
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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%.
Keywords: Face recognition, Hear – Cascade, Open CV, LBPH, Criminal identification, Recognition rate.
Scope of the Article: Image Processing and Pattern Recognition