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
Link To Document :
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