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Feature Level Fusion of Multimodal Biometrics and Two Tier Security in ATM System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 70 - Number 14 |
| Year of Publication: 2013 |
| Authors: N. Geethanjali, K. Thamaraiselvi |
10.5120/12030-8041
|
N. Geethanjali, K. Thamaraiselvi . Feature Level Fusion of Multimodal Biometrics and Two Tier Security in ATM System. International Journal of Computer Applications. 70, 14 ( May 2013), 17-23. DOI=10.5120/12030-8041
Abstract
Unimodal biometrics uses a single source of biometric system for personal identification. It has a variety of problems such as noise in the sense data, Intra-class variations, Inter-class similarities and spoof attacks. Multibiometrics is a combination of one or more biometrics. In multibiometrics the noise in any one of the biometrics will lead to high false reject rate (FRR) while identification. All these problems are addressed by Multimodal biometrics. Multimodal biometrics is the integration of two or more types of biometrics system (e. g. Fingerprint and Face, Face and Iris, Iris and Fingerprint). It provides a secondary means of identification in case sufficient data is not extracted from a given biometric sample. The main objective is to provide a higher level security to the distributed system and to protect the biometric template by making use of biometric cryptosystem. In the existing approaches multibiometrics which is a combination of one or more biometrics is used to provide security along with feature level fusion to combine the biometric template. The failure of one of the biometrics in multibiometrics system leads to the serious issue. The proposed work is to enhance the security in ATM system with multimodal biometrics along with email verification code which provides two level security to the system.
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