CASIA OpenIR  > 类脑智能研究中心
Enhancing Biometric Security with Wavelet Quantization Watermarking based Two-stage Multimodal Authentication
Bin Ma; Chunlei Li; Yunhong Wang; Zhaoxiang Zhang; Di Huang
2012-11-11
Conference NameInternational Conference on Pattern Recognition
Source PublicationICPR 2012
Conference Date11-15 November 2012
Conference PlaceTsukuba, Japan
AbstractIn this paper we propose a watermarking based two-stage authentication framework to enhance biometric system security. The face feature of one individual is embedded into his/her fingerprint image as credibility token. During authentication, the watermark is first extracted to establish data authenticity. If legitimate, the face pattern can further serve as supplemental trait in biometric authentication progress. A wavelet quantization based watermarking method is proposed to robustly embed information in fingerprints while preserving their discriminating features. Meanwhile, a sparse representation based classifier is adopted to efficiently exploit the identity information within face watermarks. Experimental results which evaluate both watermarking and biometric authentication performance demonstrate the effectiveness of this work.
KeywordWatermarking Face Authentication Robustness Quantization Pattern Recognition
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13265
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. Enhancing Biometric Security with Wavelet Quantization Watermarking based Two-stage Multimodal Authentication[C],2012.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Bin Ma]'s Articles
[Chunlei Li]'s Articles
[Yunhong Wang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Bin Ma]'s Articles
[Chunlei Li]'s Articles
[Yunhong Wang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Bin Ma]'s Articles
[Chunlei Li]'s Articles
[Yunhong Wang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.