Citizen Unique ID Based Real Time Face Recognition for Surveillance and National Security
Kartikeya P Malimath1, Soumaya L G Joshi2, Ravikumar H S3, Chethan M4, Divya C D5
1Kartikeya P Malimath, Pursuing, Bachelor of Engineering in Computer Science at Vidyavardhaka College of Engineering, Mysuru.
2Ravikumar HS, Pursuing Bachelor of Engineering in Computer Science at Vidyavardhaka College of Engineering, Mysuru.
3Chethan M, Pursuing Bachelor of Engineering in Computer Science at Vidyavardhaka College of Engineering, Mysuru.
4Divya C D, Assistant professor in the department of computer science and engineering, vidyavardhaka College of engineering, Mysuru
5Soumaya L G Joshi, Pursuing Bachelor of Engineering in Computer Science at Vidyavardhaka College of Engineering, Mysuru.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 30, 2020. | PP: 1830-1834 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7891038620/2020©BEIESP | DOI: 10.35940/ijrte.F7891.038620
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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: Provision of home security services has become an integral part of our lives in today’s technological society where attackers usually have all the necessary means and resources at their disposal. Face Recognition is producing gigantic enthusiasm because of government worries about character the executives and worldwide fear based oppressor movement. One aspiration of Intelligent CCTV is to help counteract fear based oppression and a key innovation is solid face acknowledgment. The movement discovery module is dependable to decide the degree of action while the face identification module separates between approved individuals and interlopers. Our system is better than many proposed systems as it combines both motion detection and face recognition in a single system. Our framework has three noteworthy segments containing: 1) a Viola-Jones face discovery module 2) a Pose Normalization Module to evaluate facial posture and make up for extraordinary posture points 3) Adaptive Principal Component Analysis to perceive the standardized appearances.
Keywords: CCTV , Detection , Identification , Motion , Normalization , Recognition.
Scope of the Article: Image Processing and Pattern Recognition.