A Novel Face Detection Technique Using OpenCV

Authors

  • Souvik Das Student, Department of Electronics and Communication Engineering, Guru Nanak Institute of Technology, Kolkata, India
  • Soumyadeep Sett Student, Department of Electronics and Communication Engineering, Guru Nanak Institute of Technology, Kolkata, India
  • Subhojyoti Saha Student, Department of Electronics and Communication Engineering, Guru Nanak Institute of Technology, Kolkata, India
  • Soumyadeep Saha Student, Department of Electronics and Communication Engineering, Guru Nanak Institute of Technology, Kolkata, India
  • Soumyadeep Roychoudhury Student, Department of Electronics and Communication Engineering, Guru Nanak Institute of Technology, Kolkata, India
  • Koushik Pal Assistant Professor, Department of Electronics and Communication Engineering, Guru Nanak Institute of Technology, Kolkata, India

Keywords:

Face detection, Face recognition, Open-CV, Numpy, Eigenfaces

Abstract

Identifying and recognizing a person through virtual mode or mass media become an important and essential thing in order now-a-days to provide sufficient privacy and security. In this paper, we intend to Implement a real-time Face detection from video and images using Haar Classifier using Python programing. OpenCV libraries are used for detecting face. The experimental result computed by using computer vision OpenCV framework libraries by which we obtained accurate and speediness for face detection and tracking the head poses position. The proposed technique is predicated on the utilization of Python programming for correct classification and identification of the face. In this paper we shall implement a Har-Classifier for Face Detection and Tracking method supported by the Har features.

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Published

2021-07-13

How to Cite

[1]
S. Das, S. Sett, S. Saha, S. Saha, S. Roychoudhury, and K. Pal, “A Novel Face Detection Technique Using OpenCV”, IJRESM, vol. 4, no. 7, pp. 121–124, Jul. 2021.

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Articles