期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2012
卷号：3
期号：3
页码：3985-3988
出版社：TechScience Publications
摘要：Any automatically measurable, robust and distinctive physical characteristics or personal trait that can be used to identify an individual or verify the claimed identity of an individual, referred to as biometrics, has gained significant interest in the wake of heightened concerns about security and rapid advancements in networking, communication and mobility. The security of sensitive data on web is a key to its success. Multimodal biometrics is expected to be ultra-secure and reliable, due to the presence of multiple and independent- verification clues. In this study, a multimodal biometric system utilizing finger print and facial signatures has been considered. Face images are identified based on Eigen face approach using Principal Component Analysis. The success rate of multimodal system using finger print and face is higher when compared to individual unimodal recognition systems. .
