TY - GEN
T1 - Watermarking-based tamper detection and recovery algorithms for official documents
AU - Rosales-Roldan, Luis
AU - Cedillo-Hernández, Manuel
AU - Nakano-Miyatake, Mariko
AU - Pérez-Meana, Héctor
PY - 2011
Y1 - 2011
N2 - This paper proposes two watermarking-based algorithms for temper detection and recovery of the tampered regions, which can be applied to official documents, such as digitized passports and governmental registrations. In both algorithms, a halftone version of the original grayscale image is used as an approximated version of the host image (image digest), which is then embedded as a watermark sequence into the frequency domains of the host image. In the first algorithm, the Integer Wavelet Transform (IWT) is used for watermark embedding (WIA-IWT); while in the second one, the Discrete Cosine Transform (DCT) domain is used for this purpose (WIA-DCT). The experimental results demonstrate the robustness of both algorithms against content preserved modifications, such as JPEG compression, as well as recovery capability. Moreover, we employ a Multilayer Perceptron neural network (MLP) in inverse halftoning process to improve the recovered image quality, where the gray-scale of the modified area is estimated by the MLP using the extracted halftone image. The experimental results demonstrate the effectiveness of the proposed scheme.
AB - This paper proposes two watermarking-based algorithms for temper detection and recovery of the tampered regions, which can be applied to official documents, such as digitized passports and governmental registrations. In both algorithms, a halftone version of the original grayscale image is used as an approximated version of the host image (image digest), which is then embedded as a watermark sequence into the frequency domains of the host image. In the first algorithm, the Integer Wavelet Transform (IWT) is used for watermark embedding (WIA-IWT); while in the second one, the Discrete Cosine Transform (DCT) domain is used for this purpose (WIA-DCT). The experimental results demonstrate the robustness of both algorithms against content preserved modifications, such as JPEG compression, as well as recovery capability. Moreover, we employ a Multilayer Perceptron neural network (MLP) in inverse halftoning process to improve the recovered image quality, where the gray-scale of the modified area is estimated by the MLP using the extracted halftone image. The experimental results demonstrate the effectiveness of the proposed scheme.
KW - DCT
KW - Halftoning
KW - IWT
KW - Recovery Capability
KW - Tamper Detection
KW - Watermarking
UR - http://www.scopus.com/inward/record.url?scp=84855763512&partnerID=8YFLogxK
U2 - 10.1109/ICEEE.2011.6106673
DO - 10.1109/ICEEE.2011.6106673
M3 - Contribución a la conferencia
AN - SCOPUS:84855763512
SN - 9781457710117
T3 - CCE 2011 - 2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control, Program and Abstract Book
BT - CCE 2011 - 2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control, Program and Abstract Book
T2 - 2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2011
Y2 - 26 October 2011 through 28 October 2011
ER -