Student Recognition Through Their Photograph

EasyChair Preprint 5449

Abstract

Face detection and recognition from an image or a video is a popular topic in biometrics research. Face recognition technology has widely attracted attention due to its enormous application value and market potential, such as real-time video surveillance system. It is widely acknowledged that the face recognition has played an important role in surveillance system as it doesn’t need the object’s co- operation. We design a real-time face recognition system based on IP camera and image set algorithm by way of OpenCV and Python programming development. The system includes three parts: Detection module, training module and recognition module. The proper space is determined with the identification of the covariance matrix's own vectors, which are centered on a collection of fingerprint images. I build a camera-based real-time face recognition system and set an algorithm by developing programming on OpenCV.

Keyphrases: Student recognition, face detection, own photograph

@booklet{EasyChair:5449,
  author    = {Surya Prakash},
  title     = {Student Recognition Through Their Photograph},
  howpublished = {EasyChair Preprint 5449},
  year      = {EasyChair, 2021}}