DocumentCode :
2307702
Title :
A two -step hybrid approach for voiceprint-biometric template protection
Author :
Zhu, Hua-hong ; He, Qian-hua ; Li, Yan-xiong
Author_Institution :
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
Volume :
2
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
560
Lastpage :
565
Abstract :
Biometric template protection is a crucial issue to be addressed for widespread deployment of biometrics-based recognition systems in real life application. Although a number of biometric template protection methods have been reported, it is still a challenging task to devise a scheme to satisfy both security and performance. In this paper, a two-step hybrid approach is proposed to generate a cancelable voiceprint template utilizing the advantages of both Template Transformation and Biometric Cryptosystem. The original voiceprint is transformed with random matrix based on the similarity-preserving of random projection. Chaff points are added to the codebook and matching is also performed in the transformed domain. Random projection improves the cancelability while chaff points conceal the genuine codeword to enhance the security. Binary indexes help identify the genuine codeword accurately. The effectiveness of the proposed method is well supported by detailed analysis. The experimental results demonstrate that the recognition performance is well-kept as the original template does.
Keywords :
biometrics (access control); cryptography; matrix algebra; security of data; speaker recognition; binary indexes; biometric cryptosystem; biometric template protection methods; biometric-based recognition systems; cancelable voiceprint template transformation; chaff points; codebook; codeword identification; random matrix; random projection similarity-preserving; two-step hybrid approach; voiceprint-biometric template protection; Abstracts; Biomedical measurements; Cryptography; Speech recognition; Fuzzy vault; Random projection; Template protection; Voiceprint;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
ISSN :
2160-133X
Print_ISBN :
978-1-4673-1484-8
Type :
conf
DOI :
10.1109/ICMLC.2012.6358984
Filename :
6358984
Link To Document :
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