Enhanced Recognition Based Image Authentication Scheme to Save System Time & Memory

Abstract

This paper presents an authentication scheme that contains images, alphabets, numbers and symbols. The primary aim of this research is to develop the authentication scheme using images as the front end data which makes it easy to remember for the user. But to store that selected images by the user in the backend (database), it takes a large amount of memory as well as processing time for password verification. To prevent this, the proposed method converts all the selected images in the string containing alphabets, numbers & symbols. This method focuses on recognition based image authentication scheme and also provides its two different ways of authentication. Sequential recognition based and Non-Sequential recognition-based image authentication schemes which will provide a facility to the user to verify its password sequentially or non-sequentially. At the user side, this authentication scheme is flexible & easy to remember. And at the system side, it provides low memory consumption and verifies the password in less amount of time. After the scheme is developed, the system time & memory is also calculated and analyzed. It has been observed that this scheme is saving the time and memory making the system advantageous.