vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff24510a0000006b0f000001000d00 In general, the identification and verification are done by passwords, pin number, etc., which is easily cracked by others. In order to overcome this issue biometrics is a unique tool for authenticate an individual person. Nevertheless, unimodal biometric is suffered due to noise, intra class variations, spoof attacks, non-universality and some other attacks. In order to avoid these attacks, the multimodal biometrics i.e. combining of more modalities is adapted. In a biometric authentication system, the acceptance or rejection of an entity is dependent on the similarity score falling above or below the threshold. Hence this paper has focused on the security of the biometric system, because compromised biometric templates cannot be revoked or reissued and also this paper has proposed a multimodal system based on an evolutionary algorithm, Particle Swarm Optimization that adapts for varying security environments. With these two concerns, this paper had developed a design incorporating adaptability, authenticity and security.
A. Muthukumar1, C. Kasthuri2 and S. Kannan3
1,3Kalasalingam University, India,2Madurai Institute of Engineering and Technology, India
Multibiometric, Cryptosystem, Score Level Fusion, PSO Algorithm, Feature Extraction
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| Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 2 , Issue: 3 , Pages: 369-374 )
Date of Publication :
February 2012
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