@inproceedings{
 title = {Bimodal Biometric System for Cryptographic Key Generation Using Wavelet Transforms},
 type = {inproceedings},
 year = {2009},
 keywords = {Biometrics,Cryptography,Wavelet transform},
 pages = {185-196},
 websites = {http://ieeexplore.ieee.org/document/5452561/},
 publisher = {IEEE},
 id = {ee3b0e37-bab9-38bd-a573-fa5a4e3dc3bb},
 created = {2022-08-29T17:43:22.533Z},
 file_attached = {false},
 profile_id = {940dd160-7d67-3a5f-b9f8-935da0571367},
 group_id = {92fccab2-8d44-33bc-b301-7b94bb18523c},
 last_modified = {2022-08-29T17:43:22.533Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {In this paper we present a bimodal biometric system for cryptographic key generation that works with speech and electrocardiogram (ECG) signals using wavelet transforms. This work is based on the uniqueness and quasi-stationary behavior of ECG and speech signals with respect to an individual. The architecture of the proposed system considers three security factors, namely, user password, biometric samples, and a token. The stages that comprise the architecture are one time enrollment and key derivation. The system architecture is able to verify the identity of individuals off-line avoiding the use of a centralized database for storing the biometric information. The system also implements an error-correction layer using the Hadamard code. The performance of the system is assessed using ECG signals from the MIT-BIH database and speech signals from a speech database created for testing purposes. Simulation results report a false acceptance rate (FAR) of 1.27% and a false rejection rate (FRR) of 10.62% for the system. The random cryptographic key released by the system may be used in several encryption algorithms. © 2009 IEEE.},
 bibtype = {inproceedings},
 author = {Garcia-Baleon, H. A. and Alarcon-Aquino, V. and Starostenko, O. and Ramirez-Cruz, J. F.},
 doi = {10.1109/ENC.2009.25},
 booktitle = {2009 Mexican International Conference on Computer Science}
}

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