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A Design and Implementation of Missing Person Identification System using face Recognition

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2021, 26(2), pp.19-25
  • DOI : 10.9708/jksci.2021.26.02.019
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : January 6, 2021
  • Accepted : February 15, 2021
  • Published : February 26, 2021

Jong-Hwan Shin 1 ChanMi-Park 1 Heonju Lee 1 Seoung-Hyeon Lee 1 Lee Jae Kwang 1

1한남대학교

Accredited

ABSTRACT

In this paper proposes a method of finding missing persons based on face-recognition technology and deep learning. In this paper, a real-time face-recognition technology was developed, which performs face verification and improves the accuracy of face identification through data fortification for face recognition and convolutional neural network(CNN)-based image learning after the pre-processing of images transmitted from a mobile device. In identifying a missing person’s image using the system implemented in this paper, the model that learned both original and blur-processed data performed the best. Further, a model using the pre-learned Noisy Student outperformed the one not using the same, but it has had a limitation of producing high levels of deflection and dispersio

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.