|International Journal of Computer Applications
|Foundation of Computer Science (FCS), NY, USA
|Volume 50 - Number 17
|Year of Publication: 2012
|Authors: P.u. Lahane, S. R. Ganorkar
P.u. Lahane, S. R. Ganorkar . Efficient Iris and Fingerprint Fusion for Person Identification. International Journal of Computer Applications. 50, 17 ( July 2012), 1-6. DOI=10.5120/7860-0914
Security of information is one of the most important factors of information technology and communication. So systems need strong procedures to protect data and resources access from unauthorized users. Biometric-based authentication systems represent a valid alternative to conventional approaches. Multimodal biometric system is used in order to improve the accuracy. A multimodal biometric identification systems aims to fuse two or more physical or behavioral traits. Multimodal biometric identification system based on iris & fingerprint trait is proposed. Typically in a multimodal biometric system each biometric trait processes its information independently. The processed information is combined using an appropriate fusion scheme. A template level fusion algorithm results in a homogeneous biometric vector by integrating iris & fingerprint data. Successively, the comparison of data base template and the input data is done with the help of hamming-distance matching algorithm. If the templates are matched we can allow the person to access the system. The proposed multimodal biometric system will improve system accuracy & dependability.