Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Video-Object Oriented Biometrics Hiding for User Authentication under Error-Prone Transmissions | Hindawi Publishing Corporation EURASIP Journal on Information Security Volume 2011 Article ID 174945 12 pages doi 2011 174945 Research Article Video-Object Oriented Biometrics Hiding for User Authentication under Error-Prone Transmissions Klimis Ntalianis 1 Nicolas Tsapatsoulis 1 and Athanasios Drigas2 1 Department of Communication and Internet Studies Cyprus University of Technology 3603 Limassol Cyprus 2Net Media Laboratory NCSR Demokritos 15310 Athens Greece Correspondence should be addressed to Klimis Ntalianis Received 12 April 2010 Revised 9 November 2010 Accepted 3 January 2011 Academic Editor Claus Vielhauer Copyright 2011 Klimis Ntalianis et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 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 ofthe 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. 1. Introduction Person authentication is one of the most important issues in contemporary societies. It ensures that a system s resources are not obtained fraudulently
