Real Time Face Detection using Haar Cascade Classifier Algorithm

Abstract

In biometrics research, face detection and recognition from an image or video is a hot topic. Due to the enormous market potential and application value of face recognition technology, such as in real-time video surveillance systems, it has garnered a lot of attention. Face recognition has a significant impact on surveillance systems, it is widely acknowledged, because it doesn't require object cooperation. Using Python and OpenCV programming, we create a real-time face recognition system based on IP cameras and an image set algorithm. The system is composed of three modules: detection, training, and recognition.

Country : India

1 Mr. Pavan Kumar U2 Mrs. Shivaleela S

  1. PG Student of MCA, Dr. Ambedkar Institute of Technology, Bangalore, India
  2. Assistant Professor, Department of MCA, Dr. Ambedkar Institute of Technology, Bangalore, India

IRJIET, Volume 6, Issue 6, June 2022 pp. 194-197

doi.org/10.47001/IRJIET/2022.606026

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