Multimedia content screening using a dual watermarking and fingerprinting system
Proceedings of the tenth ACM international conference on Multimedia
Print-and-scan model and the watermarking countermeasure
Image and Vision Computing
Collusion-secure fingerprinting for digital data
IEEE Transactions on Information Theory
Robust template matching for affine resistant image watermarks
IEEE Transactions on Image Processing
Reading Watermarks from Printed Binary Images with a Camera Phone
IWDW '09 Proceedings of the 8th International Workshop on Digital Watermarking
Watermark robustness in the print-cam process
SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications
Attack against robust watermarking-based multimodal biometric recognition systems
BioID'11 Proceedings of the COST 2101 European conference on Biometrics and ID management
Watermarking as a means to enhance biometric systems: a critical survey
IH'11 Proceedings of the 13th international conference on Information hiding
Watermark detection for video bookmarking using mobile phone camera
CMS'10 Proceedings of the 11th IFIP TC 6/TC 11 international conference on Communications and Multimedia Security
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This paper addresses an image fingerprinting scheme for the print-to-capture model performed by a photo printer and digital camera. When capturing an image by a digital camera, various kinds of distortions such as noise, geometrical distortions, and lens distortions are applied slightly and simultaneously. In this paper, we consider several steps to extract fingerprints from the distorted image in print-and capture scenario. To embed ID into an image as a fingerprint, multi-bits embedding is applied. We embed 64 bits ID information as a fingerprint into spatial domain of color images. In order to restore a captured image from distortions a noise reduction filter is performed and a rectilinear tiling pattern is used as a template. To make the template a multi-bits fingerprint is embedded repeatedly like a tiling pattern into the spatial domain of the image. We show that the extracting is successful from the image captured by a digital camera through the experiment.