DocumentCode
117658
Title
Digital right management control for joint ownership of digital images using biometric features
Author
Singh, Ashutosh ; Kishore Dutta, Malay ; Travieso, Carlos M. ; Soni, K.M.
Author_Institution
Dept. of Electron. & Commun. Eng., Amity Univ., Noida, India
fYear
2014
fDate
20-21 Feb. 2014
Firstpage
164
Lastpage
167
Abstract
This paper proposes a method to establish joint ownership of digital images by embedding imperceptible digital pattern in the image. This digital pattern is generated from biometric features of more than one subject in a strategic matter so that the identification of individual subject can be done and the multiple ownership of the digital images can be established. This digital pattern was embedded and extracted from the image and the experiments were also carried out when the image was subjected to signal processing attacks. Coefficients of mid frequency band discrete cosine transform was used for embedding as these coefficients do not adversely affect the perceptual transparency and is also significantly robust to normal signal processing attacks. Experimental results indicate that the insertion of this digital pattern does not change the perceptual properties of the image and the pattern survives signal processing attacks which can be extracted for unique identification.
Keywords
digital rights management; discrete cosine transforms; feature extraction; image watermarking; iris recognition; biometric features; digital images; digital right management control; digital watermarking; imperceptible digital pattern; iris pattern recognition; joint ownership; mid frequency band discrete cosine transform coefficients; perceptual transparency; signal processing attacks; Biomedical imaging; Discrete cosine transforms; Feature extraction; Iris recognition; Robustness; Signal processing; Watermarking; Digital watermarking; Iris Pattern Recognition; Multiple biometric features; Perceptual Transparency; Robustness; Signal Processing Attacks;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Integrated Networks (SPIN), 2014 International Conference on
Conference_Location
Noida
Print_ISBN
978-1-4799-2865-1
Type
conf
DOI
10.1109/SPIN.2014.6776941
Filename
6776941
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