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Block Pyramid Based Adaptive Quantization Watermarking for Multimodal Biometric Authentication
Bin Ma; ChunLei Li; Yunhong Wang; Zhaoxiang Zhang; Yiding Wang
2010-08-23
Conference NameInternational Conference on Pattern Recognition
Source PublicationICPR 2010
Conference Date23-26 August 2010
Conference PlaceIstanbul, Turkey
AbstractThis paper proposes a novel robust watermarking scheme to embed fingerprint minutiae into face images for multimodal biometric authentication. First, a block pyramid is layered according to the block-wise face region distinctiveness estimated by Adaboost; upper level indicates informative spacial regions. Then, we adopt a first-order statics QIM method to perform watermark embedding in each pyramid level. Numeric watermark bits with higher priority are embedded into upper pyramid level with a larger embedding strength. By joint differentiation of host image regions and watermark bits priority, our scheme achieves a trade-offs among watermarking robustness, capacity and fidelity. Experimental results demonstrate that our approach guarantees the robustness of hidden biometric data, while preserving the distinctiveness of host biometric images.
KeywordQuantization Index Modulation Multimodal Biometric Authentication Digital Watermarking
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13302
Collection类脑智能研究中心
Corresponding AuthorZhaoxiang Zhang
Recommended Citation
GB/T 7714
Bin Ma,ChunLei Li,Yunhong Wang,et al. Block Pyramid Based Adaptive Quantization Watermarking for Multimodal Biometric Authentication[C],2010.
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