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Title: Video-object oriented biometrics hiding for user authentication under error-prone transmissions
Authors: Ntalianis, Klimis S. 
Tsapatsoulis, Nicolas 
Drigas, Athanasios 
Keywords: Biometric identification;Cryptography;Authentication
Category: Electrical Engineering - Electronic Engineering - Information Engineering
Field: Engineering and Technology
Issue Date: 2011
Publisher: Springer
Source: Eurasip journal on information security, 2011, Volume 2011, Article number 174945
Abstract: An automatic video-object oriented steganographic system is proposed for biometrics authentication over error-prone networks. Initially, the host video object is automatically extracted through analysis of videoconference sequences. Next, the biometric pattern corresponding to the segmented video object is encrypted by a chaotic cipher module. Afterwards, the encrypted biometric signal is inserted to the most significant wavelet coefficients of the video object, using its qualified significant wavelet trees (QSWTs). QSWTs provide both invisibility and significant resistance against lossy transmission and compression, conditions that are typical in error prone networks. Finally, the inverse discrete wavelet transform (IDWT) is applied to provide the stego-object. Experimental results under various losses and JPEG compression ratios indicate the security, robustness, and efficiency of the proposed biometrics hiding system
ISSN: 16874161
Rights: Copyright © 2011 Klimis Ntalianis et al. This is an open access article distributed under the Creative Commons Attribution
Type: Article
Appears in Collections:Άρθρα/Articles

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