Efficient Face Recognition System for Identifying Lost People
Bharath Darshan Balar1, D S Kavya2, Chandana M3, Anush E4, Vishwanath R Hulipalled5
1Bharath Darshan Balar, Department of Computing and Inforrnation Technology, REVA University, Bangalore (Karnataka), India.
2D S Kavya, Department of Computing and Inforrnation Technology, REVA University, Bangalore (Karnataka), India.
3Chandana M, Department of Computing and Inforrnation Technology, REVA University, Bangalore (Karnataka), India.
4Anush E, Department of Computing and Inforrnation Technology, REVA University, Bangalore (Karnataka), India.
5Dr. Vishwanath R Hulipalled, Department of Computing and Inforrnation Technology, REVA University, Bangalore (Karnataka), India.
Manuscript received on 05 June 2019 | Revised Manuscript received on 14 June 2019 | Manuscript Published on 29 June 2019 | PP: 203-206 | Volume-8 Issue-5S, May 2019 | Retrieval Number: E10420585S19/19©BEIESP
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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: In the world, a countless number of people are missing every day which includes kids, teens, mentally challenged, old-aged people with Alzheimer’s, etc. Most of them remain untraced. This paper proposes a system that would help the police and the public by accelerating the process of searching using face recognition. When a person goes missing, the people related to that person or the police can upload the picture of the person which will get stored in the database. When the public encounter a suspicious person, they can capture and upload the picture of that person into our portal. The face recognition model in our system will try to find a match in the database with the help of face encodings. It is performed by comparing the face encodings of the uploaded image to the face encodings of the images in the database. If a match is found, it will be notified to the police and the people related to that person along with the location of where the person is found. The face recognition model that we have used maintains an accuracy of 99.38% on the Labelled Faces in the Wild Benchmark which comprises of 13,000 images [1].
Keywords: Face Encodings, Face Recognition, Finding, Lost Kids, Missing People.
Scope of the Article: Pattern Recognition