Real Time Facial Recognition System

Ashwini, Vijay Balaji, Srivarshini Srinivasan and Kavya Monisha
Additional contact information
Ashwini: SRM IST, Department of CSE
Vijay Balaji: SRM IST, Department of CSE
Srivarshini Srinivasan: SRM IST, Department of CSE
Kavya Monisha: SRM IST, Department of CSE

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 1721-1726 from Springer

Abstract: Abstract The main aim of the proposed work is to develop a three module face detection and recognition system. This system is mainly centralized on distinguishing the full frontal face present in the encompassed digital image or video. Our system assists the user to detect faces appearing in a video/webcam. In this process, the image fed as output by the user, is verified by referencing it with a federated database. The database assimilates a good deal of digital images from all the authorized users, who can pass through the system. The metadata is trained for effectuating the system’s purpose. This trained data is then used for recognizing the face present on the webcam or the image. If an image corresponds to the fed image, then the suitable data will displayed. This system is implemented with the help of openCV library. This library extends a FaceRecogniser class, which contains algorithms for performing the recognition process. Our system uses the local binary patterns histogram for achieving the result.

Keywords: Database; OpenCV; Face recognizer; Binary pattern histogram (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_175

Ordering information: This item can be ordered from
http://www.springer.com/9783030418625

DOI: 10.1007/978-3-030-41862-5_175

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().