Title
Video-Object Oriented Biometrics Hiding for User Authentication under Error-Prone Transmissions
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.
Year
DOI
Venue
2011
10.1155/2011/174945
EURASIP J. Information Security
Keywords
Field
DocType
Chaotic System, Chaotic Function, Biometric Data, Video Object, Fingerprint Image
Steganography,Authentication,Object-oriented programming,Computer science,Computer security,Human–computer interaction,Biometrics
Journal
Volume
Issue
ISSN
2011
1
1687-417X
Citations 
PageRank 
References 
2
0.39
19
Authors
3
Name
Order
Citations
PageRank
Klimis S. Ntalianis16615.74
Nicolas Tsapatsoulis229546.57
Athanasios Drigas38545.78