Fingerprint Image Watermarking Algorithm Based on Block Compressed Sensing with Variable Sampling Rates
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Fingerprint Image Watermarking Algorithm Based on Block Compressed Sensing with Variable Sampling Rates
Acta Scientiarum Naturalium Universitatis SunYatseniVol. 53, Issue 5, Pages: 14-19(2014)
作者机构:
广东技术师范学院电子与信息学院,广东,广州,510665
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Published:2014,
Published Online:25 September 2014,
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ZHAO Huimin, CAI Jun, WEI Wenguo. Fingerprint Image Watermarking Algorithm Based on Block Compressed Sensing with Variable Sampling Rates. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 53(5):14-19(2014)
DOI:
ZHAO Huimin, CAI Jun, WEI Wenguo. Fingerprint Image Watermarking Algorithm Based on Block Compressed Sensing with Variable Sampling Rates. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 53(5):14-19(2014)DOI:
Fingerprint Image Watermarking Algorithm Based on Block Compressed Sensing with Variable Sampling Rates
Content protection of fingerprint image is an important application field for information security
and robustness is a key techniques. An actualization method of block compressed sensing watermarking (BCSW) with variable sampling rates is proposed to aim at content security protection problem. Firstly
the watermark image of fingerprint is performed discrete wavelet transform (DWT)
and divided into several sub block in which the block size can be adjusted according to structure features of the blocking image. Secondly
block-based compressed-sensing sampling is deployed independently within each subband of each decomposition level of a wavelet transform of an image. Finally
the formed watermark data are embedded into all sub-blocks of the LLn sub-band of the transformed host image by using quantization technique. Experimental results show that the introduction of compressed sensing theory improves the robustness and security of the protected fingerprint image.