A Framework for Authentication Using Fingerprint and Electroencephalogram as Biometrics Modalities
In today's scenario security is becoming a crucial concern due to increased number of frauds, theft and hooligans. This paper proposes a multimodal biometrics system by combining two unimodal modalities that is fingerprint and EEG. Fingerprint unimodal Systems can be spoofed using artificial fingers and fingerprints made from readily available materials (e.g. gelatine, silicon) or even cadaver fingers (finger of dead person). Proposed system eliminates the disadvantages of the fingerprint recognition system as only living persons have EEG and it varies from person to person. So, combining fingerprint and EEG modalities make system more secure, robust and hard to spoof.