Desynchronized image fingerprint for large scale distribution

Collusion is a major menace to image fingerprint. Recently, an idea is introduced for collusion-resilient fingerprint by space desynchronizing including RST (rotation, scaling and translation) and random bending. In this paper, we proposed a new space desynchronized fingerprint method which is for l...

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Bibliographic Details
Published in2008 15th IEEE International Conference on Image Processing pp. 409 - 412
Main Authors Zhongxuan Liu, Shiguo Lian, Yuan Dong, Haila Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2008
Subjects
collusion
Copy right protection
Cryptography
Degradation
desynchronized fingerprint
Face
Fingerprint recognition
Humans
image fingerprint
Image segmentation
Large-scale systems
Robustness
Telecommunications
Watermarking
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Summary:Collusion is a major menace to image fingerprint. Recently, an idea is introduced for collusion-resilient fingerprint by space desynchronizing including RST (rotation, scaling and translation) and random bending. In this paper, we proposed a new space desynchronized fingerprint method which is for large scale distribution: image is enlarged and encrypted at sender side; at user side, key sequence is used to only decrypt some parts of image and compose these parts to make a new image copy with fingerprint embedded. This method has two priorities: first, only one image is needed to send to or be downloaded by all users with fingerprint embedded; secondly, the embedded fingerprint is robust to collusion attack. For diminishing the degradation introduced by desynchronization, we consider the image content such as human face. Experiments indicate the effectiveness of our method.
ISBN:9781424417650
1424417651
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2008.4711778