DocumentCode :
1926940
Title :
A structural similarity assessment for generating hybrid images
Author :
Takahashi, Keita ; Hasegawa, Madoka ; Tanaka, Yuichi ; Kato, Shigeo
Author_Institution :
Dept. of Inf. Syst. Sci., Utsunomiya Univ., Tochigi, Japan
fYear :
2011
fDate :
6-9 Nov. 2011
Firstpage :
240
Lastpage :
243
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.
Keywords :
feature extraction; image processing; message authentication; SSIM; SURF; Scheffe method; decoy image; graphical password; hybrid image generation; shoulder-surfing prevention; speeded up robust features; structural similarity assessment; structural similarity evaluation method; structural similarity index; Authentication; Hybrid power systems; Image edge detection; Low pass filters; Measurement; Robustness; Simulation; Graphical Password; Hybrid Image; Image Processing; Similarity Metric; User Authentication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4673-0321-7
Type :
conf
DOI :
10.1109/ACSSC.2011.6189993
Filename :
6189993
Link To Document :
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