Multilevel Image Encryption and Decryption Based On Biometric Approach

Authors

  • Poornima Badgi
  • Kavya Ravishankar
  • Neha K S
  • Nandini

Keywords:

Image Encryption, Pixel value based rotation, Block Shifting, Security of Image

Abstract

The field of Encryption is getting popularity in the current period in which information security is of utmost concern. Security is a noteworthy issue in correspondence to pictures; Encryption is one of the ways to deal with security. Picture encryption has application in web correspondence, intelligent media structure, clinical imaging, telemedicine, military correspondence, etc. Picture is not quite the same as text when it comes to encryption. In spite of the fact that we may utilize the customary cryptosystems to encode pictures legitimately, it's anything but a smart thought for two reasons. First is that the picture size is quite often a lot more noteworthy. Secondly, the conventional cryptosystems need a lot of time to straightforwardly scramble the picture information. The other issue is that the decoded text must be equivalent to the first content. Be that as it may, this prerequisite a bit much for picture information. Because of the attribute of human observation, a decoded picture containing little twisting is generally satisfactory.

Downloads

Download data is not yet available.

Downloads

Published

2020-08-17

How to Cite

Poornima Badgi, Kavya Ravishankar, Neha K S, & Nandini. (2020). Multilevel Image Encryption and Decryption Based On Biometric Approach. International Journal of Progressive Research in Science and Engineering, 1(5), 79–84. Retrieved from https://journal.ijprse.com/index.php/ijprse/article/view/156

Issue

Section

Articles