DocumentCode :
3127346
Title :
Multimodal based fuzzy vault using iris retina and fingervein
Author :
Geetika ; Kaur, Manpreet
Author_Institution :
Dept. Of Comput. Sci., PEC Univ. of Technol., Chandigarh, India
fYear :
2013
fDate :
4-6 July 2013
Firstpage :
1
Lastpage :
5
Abstract :
Multi biometric systems consolidate evidence from multiple sources of biometric information in order to reliably determine the identity of an individual. These systems can alleviate the limitations of unibiometric systems because the different biometric sources usually compensate for the inherent limitations of the other sources. But the major challenge to such systems is the template security and fusion complexity. In this work, fuzzy vault framework is used to secure iris, retina and fingervein templates. These traits are stable and have template longevity and their combination can be used in high security applications. The proposed multimodal fuzzy vault is thus designed with fusion of feature points extracted the above three traits. This method measures the security of the resultant vault by using min-entropy.
Keywords :
cryptography; fingerprint identification; fuzzy set theory; iris recognition; biometric information; biometric sources; feature points extraction; fingervein; fusion complexity; fuzzy vault framework; iris retina; min-entropy; multibiometric systems; multimodal based fuzzy vault; multimodal fuzzy vault; template longevity; template security; unibiometric systems; Cryptography; Feature extraction; Iris recognition; Polynomials; Retina; Biometrics; Crypto-biometric system; Fuzzy vault; Multi biometric Fuzzy vault; min-entropy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
Conference_Location :
Tiruchengode
Print_ISBN :
978-1-4799-3925-1
Type :
conf
DOI :
10.1109/ICCCNT.2013.6726786
Filename :
6726786
Link To Document :
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