DocumentCode
2550985
Title
A Novel Authentication Scheme of the DRM System based on Multimodal Biometric Verification and Watermarking Technique
Author
Wang, De-song ; Li, Jian-ping ; Yan, Yue-Hao
Author_Institution
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
fYear
2008
fDate
13-15 Dec. 2008
Firstpage
212
Lastpage
215
Abstract
Digital Rights Management (DRM) system is the effective schemes for digital transactions. A novel authentication scheme of the DRM system based on multimodal biometric verification and watermarking technique is described in this paper, which is based on highly secure iris recognition and face recognition and their feature fusion recognition is described, which is can achieve the rights management of digital content exactly through the illegal user access control. In watermarking algorithm, face image is chosen to be the host image. Iris feature is selected to use as watermark hidden in the host image. Such that iris feature watermark not only protects face biometric data, but also can be used as a covert recognition. Meanwhile, the bimodal biometrics recognition provides the improvement in the accuracy performance of the system.
Keywords
authorisation; biometrics (access control); digital rights management; eye; face recognition; feature extraction; image coding; watermarking; authentication scheme; digital right management system; digital transaction; face recognition; feature selection; iris recognition; multimodal biometric verification; user access control; watermarking technique; Authentication; Bioinformatics; Biometrics; Content management; Cryptography; Face recognition; Fingerprint recognition; Image matching; Protection; Watermarking; Digital rights management (DRM); Face recognition; Feature fusion; Iris recognition; Watermarking;
fLanguage
English
Publisher
ieee
Conference_Titel
Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-3427-5
Electronic_ISBN
978-1-4244-3426-8
Type
conf
DOI
10.1109/ICACIA.2008.4770007
Filename
4770007
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