NDLI: A structural similarity assessment for generating hybrid images

Content Provider	IEEE Xplore Digital Library
Author	Takahashi, K. Hasegawa, M. Tanaka, Y. Kato, S.
Copyright Year	2011
Description	Author affiliation: Dept. of Information Systems Science, Graduate School of Engineering, Utsunomiya University, 7-2-1 Yoto, Tochigi, 321-8585 JAPAN (Takahashi, K.; Hasegawa, M.; Tanaka, Y.; Kato, S.)
Abstract	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.
Starting Page	240
Ending Page	243
File Size	630236
Page Count	4
File Format	PDF
ISBN	9781467303217
ISSN	10586393
e-ISBN	9781467303231
DOI	10.1109/ACSSC.2011.6189993
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Authentication Hybrid power systems Low pass filters Image edge detection Simulation Robustness User Authentication Image Processing Similarity Metric Hybrid Image Graphical Password
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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