Recognition using Multimodal Biometric
Shivani Bhardwaj, Supreet Kaur · International Journal of Computer Applications · 2016
In recent time, biometric have been utilized broadly for verification and authentication purposes.Numerous changes and advances have been executed are as yet being created.Some issues in unimodal like absence of comprehensiveness, interclass variety and affectability to assaults which prompt spoofing of the verification framework are resolved by multimodal biometric system.Multimodal biometric system combines more than one biometric trait to authenticate a person's identity.In this paper three biometric traits face, Iris and fingerprint have been combined to develop a secure biometric system.Matching level fusion has been done on traits.Proposed system is more secure since it is using FastIca over face, Hough transformation on Iris.Face acknowledgment is most natural and satisfactory in personality confirmation; Iris and fingerprint have unique features and more accurate.Also Fuzzy logic is applied on the fusion of these three biometric traits.