International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Crime Suspect Identification System Using Deep Neural Vision Processing Technique

Abstract

This research discusses the improvement of facial recognition system in crime suspect identification system using deep neural vision processing technique. The research was motivated based on the problem of identification of crime suspect which security agents do experience these days. Several models like discrete wavelet transform model, rendering model, convolutional neural network model were used to design the new system which utilizes enhanced facial recognition approach and implemented on a Mathlab environment. The system was tested and validated using tenfold cross validation technique and the accuracy achieved was 99.22% which is very good. The system was later deployed at the Nigerian Police Force and tested for reliability using various facial expressions of volunteered criminals; and the result was excellent.

Country : Nigeria

1 Orishedere Sunday2 Linus Peter3 Isizoh A.N.

  1. Department of Computer Science and Mathematics, Novena University, Ogume, Nigeria
  2. Center for Information and Telecommunication Engineering, University of Port Harcourt, Nigeria
  3. Department of Electronic and Computer Engineering, Nnamdi Azikiwe University, Awka, Nigeria

IRJIET, Volume 7, Issue 4, April 2023 pp. 188-201

doi.org/10.47001/IRJIET/2023.704029

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