@inproceedings{
 title = {Fingerprint based biometric watermarking architecture using integer DCT},
 type = {inproceedings},
 year = {2017},
 keywords = {Blind Detection,Fast Fourier Transform,Integer DCT,Normalized Corelation,Real Time},
 id = {ae75deca-c85d-3ab8-a730-3c1c6cc9c4a1},
 created = {2018-09-06T11:22:39.818Z},
 file_attached = {false},
 profile_id = {11ae403c-c558-3358-87f9-dadc957bb57d},
 last_modified = {2018-09-06T11:22:39.818Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {© 2016 IEEE. The recent growth in multimedia technologies has simplified the ways for the transmission, reproduction and manipulation of data. This has raised the concern over security issues of the data transmitted over the channel. Watermarking is the practice of embedding information into multimedia object for authentication and ownership identification. In present time, biometric identification has acquired much attention because of its distinctiveness and reliability. The fingerprints are believed to be one of the most popular biometric scheme. In the paper, the image watermarking algorithm is developed where fingerprint based biometric identification is inserted for authentication. The robustness and invisibility of the proposed method is confirmed on MATLAB platform. The payload of the proposed algorithm is higher than other existing scheme where watermark is embedded in each three color components of an RGB image. The algorithm is synthesized on Virtex 7 FPGA family using Xilinx ISE 14.7 to verify the hardware performance.},
 bibtype = {inproceedings},
 author = {Vashistha, A. and Joshi, A.M.},
 doi = {10.1109/TENCON.2016.7848556},
 booktitle = {IEEE Region 10 Annual International Conference, Proceedings/TENCON}
}

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