본문 바로가기
  • Home

Intelligent missing persons index system Implementation based on the OpenCV image processing and TensorFlow Deep-running Image Processing

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2017, 22(1), pp.15-21
  • DOI : 10.9708/jksci.2017.22.01.015
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : January 3, 2017
  • Accepted : January 20, 2017
  • Published : January 31, 2017

BAEK, Yeong Tae 1 SeHoon Lee 2 Ji-Seong Kim 2

1김포대학교
2인하공업전문대학

Accredited

ABSTRACT

In this paper, we present a solution to the problems caused by using only text - based information as an index element when a commercialized missing person indexing system indexes missing persons registered in the database. The existing system could not be used for the missing persons inquiry because it could not formalize the image of the missing person registered together when registering the missing person. To solve these problems, we propose a method to extract the similarity of images by using OpenCV image processing and TensorFlow deep - running image processing, and to process images of missing persons to process them into meaningful information. In order to verify the indexing method used in this paper, we constructed a Web server that operates to provide the information that is most likely to be needed to users first, using the image provided in the non - regular environment of the same subject as the search element.

Citation status

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