Block Pyramid Based Adaptive Quantization Watermarking for Multimodal Biometric Authentication

	Block Pyramid Based Adaptive Quantization Watermarking for Multimodal Biometric Authentication
	Bin Ma; ChunLei Li; Yunhong Wang; Zhaoxiang Zhang; Yiding Wang
	2010-08-23
会议日期	23-26 August 2010
会议地点	Istanbul, Turkey
关键词	Quantization Index Modulation Multimodal Biometric Authentication Digital Watermarking
英文摘要	This 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.
会议录	ICPR 2010
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/13302]
专题	自动化研究所_类脑智能研究中心
通讯作者	Zhaoxiang Zhang
推荐引用方式 GB/T 7714	Bin Ma,ChunLei Li,Yunhong Wang,et al. Block Pyramid Based Adaptive Quantization Watermarking for Multimodal Biometric Authentication[C]. 见:. Istanbul, Turkey. 23-26 August 2010.