Title :
Multimodal biometric encryption using ridge and iris feature map
Author :
Raghu, I. ; Deepthi, P.P.
Author_Institution :
Dept. of ECE, Nat. Inst. of Technol., Calicut, India
Abstract :
In modern world communication, securing information is a very important task. Hence Cryptographic systems are integral parts of communication systems in almost all applications. Security requirements demand that these systems be operated with very large secret keys. Since it is very difficult to remember large private keys, these keys are stored by using biometric features and this is called biometric encryption. In this paper we propose a multimodal biometrics based encryption scheme. Here we combine features of fingerprint and iris with a user defined secret key. It is experimentally verified that the proposed system outperforms unimodal biometric encryption systems.
Keywords :
biometrics (access control); cryptography; image coding; iris recognition; biometric features; communication systems; cryptographic systems; information security; iris feature map; large private keys; multimodal biometric encryption; ridge feature map; world communication; Encryption; Feature extraction; Fingerprint recognition; Gabor filters; Iris recognition; Vectors; biometric; cryptographic key; feature level fusion; fingerprint; iris; iris feature map; lookup table and BCH code; multimodal; ridge feature map;
Conference_Titel :
Electrical, Electronics and Computer Science (SCEECS), 2012 IEEE Students' Conference on
Conference_Location :
Bhopal
Print_ISBN :
978-1-4673-1516-6
DOI :
10.1109/SCEECS.2012.6184838