Biometric Face Recognition System using Deep Dream and CNN

Authors

  • Vandana Jagtap Dr. Vishwanath Karad MIT World Peace University, Pune, India
  • Uma Pujeri Dr. Vishwanath Karad MIT World Peace University, Pune, India
  • Pallavi Parlewar Shri Ramdeobaba College of Engineering and Management, Nagpur
  • Someshwar Landge Dr. Vishwanath Karad MIT World Peace University, Pune, India
  • Aniket Ghorpade Dr. Vishwanath Karad MIT World Peace University, Pune, India
  • Abhilash Alshi Dr. Vishwanath Karad MIT World Peace University, Pune, India
  • Hitesh Khutade Dr. Vishwanath Karad MIT World Peace University, Pune, India

Keywords:

DeepDream, Deep Learning, Biometric System, CNN, ResNet512, VGG16 and Security

Abstract

This paper explores the use of Deep Dream, which is a computer vision algorithm that uses deep learning neural networks to find and enhance different patterns in images and to increase the security of face recognition used for biometric validation systems. The motive of the system is to identify and verify individuals based on their facial features. This paper also cares about the security aspects along with the accurateness and efficacy of the system. In this research, we are using CNN model for the recognition of the face along with the DeepDream concept. By applying DeepDream to existing face images in the training dataset, new images with altered visual features can be produced. This system has many applications in areas such as law enforcement, access control, border security, and identity management. We have seen many biometric face recognition systems all over but using deep dream concepts in it will increase security and accuracy. This paper will go through various deep dream algorithms that we can use with CNN. The paper presents experimental results and conclusions on the effectiveness of using Deep Dream in enhancing the security of biometric systems.

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Published

16.08.2023

How to Cite

Jagtap, V. ., Pujeri, U. ., Parlewar, P. ., Landge, S. ., Ghorpade, A. ., Alshi, A. ., & Khutade, H. . (2023). Biometric Face Recognition System using Deep Dream and CNN. International Journal of Intelligent Systems and Applications in Engineering, 11(10s), 145–154. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3241

Issue

Vol. 11 No. 10s (2023)

Section

Research Article

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