Cart (Loading....) | Create Account
Close category search window
 

A structural similarity assessment for generating hybrid images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Takahashi, K. ; Dept. of Inf. Syst. Sci., Utsunomiya Univ., Tochigi, Japan ; Hasegawa, M. ; Tanaka, Y. ; Kato, S.

We discuss a structural similarity evaluation method in order to generate hybrid images for graphical password. The hybrid image consists of two images. One is edge information of a key image and the other is coarse features of a decoy image. Visibility of the hybrid image depends on the viewing distance and the structural similarity of the images. This property of the hybrid image is useful for preventing shoulder-surfing of graphical password. However, an evaluation method for checking whether the decoy image is appropriate to overlay the key image has not been established. To address this issue, we utilize Speeded Up Robust Features (SURF) to evaluate structural similarity between two images. Simulation results show that our similarity measure mostly coincides with the visibility of a key image. We also compare our objective metric with the structural similarity (SSIM) index and subjective scores obtained from a user test based on Scheffe's method of paired comparisons.

Published in:

Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on

Date of Conference:

6-9 Nov. 2011

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.