Design of Two Tier Security ATM System with Multimodal Biometrics By Means of Fuzzy Logic
Unimodal biometrics uses the single source of physiological/biological characteristics (e.g. face, fingerprint, online signature and DNA) for person authentication. So, if any issue persists in the person's physiological/biological traits then the system leads to serious issue. To overcome this issue, the authors move into the multimodal biometrics. Multimodal biometrics is the integration of two or more types of biometrics (e.g. fingerprint and face, face and iris, iris and fingerprint). In multi biometrics the noise in any one of the biometrics will lead to high False Reject Rate (FRR) while identification.