GENERATIVE ADVERSARIAL NETWORK BASED PORTRAIT BUILDING SYSTEM FOR CRIMINAL IDENTIFICATION

Authors

  • Mahendra Pankaj Department of computer science, Govt. Engineering College, Raipur, C.G.
  • Ashutosh Singh Netam Department of computer science, Govt. Engineering College, Raipur, C.G.
  • Janak Rajwade Department of computer science, Govt. Engineering College, Raipur, C.G.

DOI:

https://doi.org/10.17605/OSF.IO/H8NMC

Keywords:

Portrait Building System, Generative Adversarial Network, Discriminator, Generator

Abstract

In today’s world the un-identification of a criminal is a major problem, causing which many of the cases to remain unsolved. So here we are using App based portrait building software from the photos of the criminals available with us. Extracting representative features of eyes, eyebrow, forehead, nose, ears, beard, hair styles etc. in various classes. In this Paper, a Generative adversarial network (GAN) [1] based Model is developed in which we train the model through a prepared database of criminal’s facial descriptions

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Published

2021-06-15

Issue

Vol. 8 No. 06 (2021): IJIERT

Section

Articles

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How to Cite

Mahendra Pankaj, Ashutosh Singh Netam, & Janak Rajwade. (2021). GENERATIVE ADVERSARIAL NETWORK BASED PORTRAIT BUILDING SYSTEM FOR CRIMINAL IDENTIFICATION. International Journal of Innovations in Engineering Research and Technology, 8(06), 242-247. https://doi.org/10.17605/OSF.IO/H8NMC