DocumentCode :
418444
Title :
Data hiding for multimodal biometric recognition
Author :
Giannoula, A. ; Hatzina, D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Volume :
2
fYear :
2004
fDate :
23-26 May 2004
Abstract :
Data hiding has been successfully applied lately in a variety of applications, other than copyright protection. A data hiding technique applied in a multimodal biometric system for automatic recognition is introduced in this paper. Specifically, both the voice and iris patterns acquired by an individual are hidden in certain wavelet coefficients of his fingerprint image using block classification and the embedded biometric template is further compressed. The proposed technique achieves a reduction of the system data rate, as opposed to the conventional independent compression and storage of each biometric signal. At the same time, accurate data reconstruction is guaranteed, enabling a successful recognition process based on the combination of three biometric modalities.
Keywords :
biometrics (access control); data compression; data encapsulation; discrete wavelet transforms; pattern recognition; automatic recognition; biometric signal compression; biometric signal storage; block classification; copyright protection; data hiding; data rate reduction; data reconstruction; embedded biometric template; fingerprint image; iris pattern; multimodal biometric recognition; voice pattern; wavelet coefficients; Biometrics; Copyright protection; Data encapsulation; Data security; Fingerprint recognition; Image coding; Image matching; Image reconstruction; Iris; Wavelet coefficients;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
Print_ISBN :
0-7803-8251-X
Type :
conf
DOI :
10.1109/ISCAS.2004.1329234
Filename :
1329234
Link To Document :
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