Identification of Identical Twins Using Multimodal Biometric

Biometrics is the science and technology of measuring and analyzing biological data of human body, extracting a feature set from the acquired data, and comparing this set against to the template set in the database. Reliable and accurate verification of people is extremely important in a number of business transactions as well as access to privileged information. The biometrics-based methods assume that the physical characteristics of an individual (as captured by a sensor) used for verification are sufficiently unique to distinguish one person from another. But the increase in twin births has created a requirement for biometric systems to accurately determine the identity of a person who has an identical twin. Identical twins recognition is a difficult task due to the existence of a high degree of correlation in overall facial appearance. In this paper Proposes a new concept of distinguish between identical twins using Multimodal biometric systems perform better than unimodal biometric systems and are popular even more complex also. For this researchers collected multiple biometric traits (like finger print, face, and Lip print) of 214 families of twins, the Experimental results prove to the ability of proposed method to recognize a pair of identical twins.