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  Published Paper Details:

  Paper Title

FACIAL RECOGNITION SYSTEM USING OPENCV

  Authors

  Vivek Anand,  Vimal Singh Parihar,  Shubham Kumar Sharma,  Vikas Singhal,  Pramod Kumar Sethy

  Keywords

Face Detection, Face Recognition, Haar Cascade, OpenCv

  Abstract


The main objective behind the facial recognition system is the certitude that every person has a unique face. As we know that every person has unique fingerprint, similarly every individual face have unique features. Here we use features of face of an individual. We can stored the features of the faces of many individuals and they can be identified according to their face features. Facial testimony and facial recognition are difficult and challenging piece of work. For facial recognition systems to be authentic, they must work accurately and precisely. The facial recognition technique captured the image using the camera and mapping it for comparison to the images stored in the database. If the captured image is matched with any of the stored images then it shows face matched otherwise it shows face not matched. This paper elaborates in detail the entire process of facial recognition system using OpenCV library. We use Har cascading algorithm using OpenCV library for the face detection.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2107697

  Paper ID - 210587

  Page Number(s) - g446-g450

  Pubished in - Volume 9 | Issue 7 | July 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Vivek Anand,  Vimal Singh Parihar,  Shubham Kumar Sharma,  Vikas Singhal,  Pramod Kumar Sethy,   "FACIAL RECOGNITION SYSTEM USING OPENCV", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 7, pp.g446-g450, July 2021, Available at :http://www.ijcrt.org/papers/IJCRT2107697.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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