Abstract :
In the present era of information technology, there is a need to implement authentication and authorization
techniques for security of resources. There are number of ways to prove authentication and authorization. But
the biometric authentication beats all other techniques. Biometric techniques prove the authenticity or authorization of a human being based on his/her physiological or behavioural traits. Biometrics is a technique by which an individual's identity can be authenticated by applying the physical or behavioural trait. Physical traits like fingerprints, palm, iris etc. are based on the physical characteristics which are generally inherent and unique. Behavioural traits like voice, signature or keystroke dynamics etc. on the other hand, are quantifiable characteristics.They also protect access of resources from unauthorized users. Multimodal biometrics refers to the use of a combination of two or more biometric modalities in a verification / identification system. Identification based on multiple biometrics represents an emerging trend. The most compelling reason to combine different modalities is to improve the recognition rate. This can be done when biometric features of different biometrics are statistically independent. A multimodal biometric identification system aims to fuse two or more physical or be havioural traits. Multimodal biometric system is used in order to improve the accuracy. Multimodal biometric identification system based on iris, palm and fingerprint trait based on fusion logic is proposed. Typically in a multimodal biometric system, each biometric trait processes its information independently. The processed information is combined using curve let transform.
Keyword :
Iris; finger print and palm images; MATLAB software