期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：3
出版社：S.S. Mishra
摘要：This paper presents integration of two biometric traits, i.e., iris and palmprint, at matching score level architecture using weighted sum of score technique. The features are extracted from the pre-processed images of iris and Palmprint. These features of a query image are compared with those of a database image to obtain matching scores. The individual scores generated after matching are passed to the integration fusion module. This module consists of three major steps i.e., normalization, generation of similarity score and fusion of weighted scores. The final score is then used to declare the person as genuine or an impostor. The system is tested on database collected by the authors for 200 samples and gives an overall accuracy of 96.04% with FAR of 1.58% and FRR of 6.34%
